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Gleiche Bürste, aber in weiß oder schwarz gab's vor ein paar Tagen für 75€ beim Media Markt und nach nervigen Cashback bei gleichem Laden für 55€. 89€ hat sie sogar direkt bei oral b im Store gekostet...sogar aktuell noch für 85€ inkl. Versand bei oral b, wenn man den Newsletter Gutschein verwendet, wenn ich das richtig sehe...

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@qdza, instead of laughing at them, why not offer some constructive criticism? How about that Change Log BlackHat World® changes. The staff put together a nice guide for you. The most recent newsletter is right here. If I were you, I'd check it out.​

MEL_Traveller said: Note that while the booking window is currently 15 June, that could be brought forward if EK resumes its schedules. https://newsletter.loyaltylobby.com/td/c/eyJ2Ijoie1wiYVwiOjExODI0NzYsXCJsXCI6MTg0MzY3MTgwOTc0OTE2OTE1LFwiclwiOjE4NDM2NzI1NDMzNzQ4ODE3M30iLCJzIjoiNGZjNDk1N2ZhMGEzNWRlMiJ9

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submitted by /u/Aggravating_Money992 to r/politics [link] [comments]

I swear it was around March and April when it came out whats taking so long is just want more updates and deltarune I can't take the wait submitted by /u/Promastered to r/Deltarune [link] [comments]

submitted by /u/dioporcarlo to r/Deltarune [link] [comments]

I have a free local city newsletter 500ish subscribers so far (small-ish city) and about 2 more subscription newsletter ideas I want to start. Before I do pursue anything, I’m trying to understand what actually makes someone pay? What newsletter do YOU pay for, and what was the thing that made you pay for? Was it the person, the niche, the format? Genuinely trying to learn before I add any more *NOTE: I am actively building the current city newsletter and getting small business sponsorship/selling ads submitted by /u/odub1 to r/beehiiv [link] [comments]

It’s been enough time since the last newsletter’s release that we should probably be expecting a new newsletter any time now. The Ch3+4 pre-release Newsletter and the Autumn 2025 Newsletter were 104 days apart. The Autumn 2025 and Winter 2025 Newsletters were 94 days apart. 104 days from the Winter 2025 newsletter brings us to April 1st 2026, which probably doesn’t mean anything unless you’re insane, which we are. Anyways, I saw the bluesky post where T. Fox says “That'll be all from me on this subject for a while...” and immediately wondered if he was going to pull a Toby prank and give us more on that subject. submitted by /u/SofIsNotHere to r/Deltarune [link] [comments]

I have always had a passion for journalism, going all the way back to writing for my school paper. Eventually, I paired that with a Bachelor’s in Computer Science and a Master’s in Artificial Intelligence. The idea for this newsletter started organically. I was working as the Team Lead in the Innovation Research Department at one of the largest companies in Europe. One day, our Head of IT asked me to start puting together a weekly update on global AI news for the team. It was just supposed to be an internal brief. Then things went crazy. The head of the company saw the brief, made a post about it on LinkedIn, and forwarded the email to every single department and subsidiary. Before I had even bought a domain name and with literally just one post published I suddenly had ~14.000 subscribers. Seeing the massive demand, my boss actually stepped in and helped me spin the newsletter off into its own side company, where I now serve as the Head of AI Research. What started as a quick weekly update is now a dedicated platform for making sense of the AI revolution. https://preview.redd.it/1squvbrv5oqg1.png?width=377&format=png&auto=webp&s=b84bcb1e43f57f1955b9e21fe652470399ed253e submitted by /u/lIlIlIKXKXlIlIl to r/sidehustle [link] [comments]

A few weeks ago I posted about tracking 23 paid Substack newsletters to see which ones actually make money. That post got 7.4k upvotes and a lot of great feedback here. The three biggest criticisms: ”Mixing apples and oranges." Some of those authors are macro/ETF traders, not stock pickers. Ranking them alongside individual stock pickers isn't fair. "30 and 60 days is too short." Many of these authors have 6–12 month theses. Need longer time horizons. "23 isn't enough." There are more newsletters worth tracking. They all made sense so I spent a few days to update my code. The update itself was done in 2 days, but it took me more than a week to recover from Iran’s bombing on my account. Quick disclaimer: I am not affiliated with any of these Substack authors. No one is paying me to promote them. Case in point — Global Tech Research ranked #1 in Part 1, and they haven't published a single new article since my post. If I were shilling for someone, they'd at least be active. This is just data from a guy who spends too much money on newsletters and wanted to know which ones are worth it. UPDATE: GLOBAL TECH RESEARCH TOOK DOWN THEIR SUBSTACK YESTERDAY. Not sure why, someone else is squatting on their account for now. Don't fall for it. What Changed 1. Classification — stock pickers only. I built a three-tier classification to separate content types: Macro commentary (7 authors, excluded): >50% of their high-conviction calls are ETFs, indices, or crypto. James Bulltard (SPY, TLT), 10x Research (BTC, ETH), Paulo Macro, Lord Fed, Macro Charts, Shrubstack, Eliant Capital. These need different evaluation (market timing accuracy), not stock-picking metrics. Sector commentary (1 author, excluded): Clouded Judgement is a weekly SaaS sector review — valuable but not actionable stock picks. Stock pickers (23 authors, ranked): Specific, thesis-driven calls on individual stocks with clear direction. If you're wondering where Paulo Macro, Lord Fed, and Macro Charts went from Part 1 — they're reclassified as macro commentary and excluded from the stock-picking rankings. They're still in the portfolio, still costing me money, just measured separately. A note on volume fairness. Among the stock pickers, output frequency varies wildly. Some authors (TMT Breakout, FundaAI) publish daily/weekly with a commitment to consistent coverage. Others only write when they have a high-conviction idea. Comparing a 529-call author head-to-head with a 33-call author isn't entirely apples-to-apples — the high-volume authors are playing a different game. That's why I added a High-Volume comparison section later in this post, to give those prolific authors a fair benchmark against each other. 2. Time horizons — now up to 360 days. Added 180d and 360d windows on top of the existing 1d/7d/15d/30d/60d. Unfortunately, a lot of the substacks are fairly recent so it's hard to judge them on 360d. But I'll keep watching. Data cutoff: 2026-03-03 (before the Iran conflict distorted markets). Analysis generated 2026-03-15. 3. More authors — expanded from 23 to 32. 8 new additions. Some of these I’ve heard of, some of them are completely new (Dick Capital thanks to wsb): - FundaAI ($1,000/yr — semiconductor/SaaS deep research) - Citrini Research ($999/yr) - Dick Capital ($300/yr) - Irrational Analysis ($200/yr) - BEP Research ($400/yr) - ZA Stocks ($400/yr) - Tae Kim ($480/yr) - Total annual spend is now ~$13,400. 4. Median over average. Switched primary metric from average to median returns. Averages get wrecked by outliers — one 200% winner makes a mediocre author look great. Median tells you what the typical pick actually does. 5. Alpha vs benchmarks. (Same as last time, but i'd like to highlight it) Every return is also measured against sector-specific benchmarks: SOXX for semis, IGV for SaaS, KWEB for Chinese tech, EWJ for Japan, GLD for gold miners, SPY as fallback. Alpha = your pick's return minus what the relevant sector ETF did over the same period. This separates actual stock-picking skill from riding a bull market. Total dataset: 3,101 high-conviction calls from 23 stock pickers, tracked over 1+ year. The Rankings Median Return (Long Calls) — Top 10 by 60d Rank Author Calls 30d 60d 180d 1 Global Tech Research 33 +12.9% +20.4% +67.3% 2 Citrini Research 19 +8.5% +14.9% +30.4% 3 FundaAI 158 +5.5% +11.2% +23.1% 4 SemiAnalysis 45 +6.1% +8.2% +43.5% 5 BEP Research 52 +1.8% +8.0% +3.5% 6 Dick Capital 44 +0.3% +7.6% — 7 Irrational Analysis 41 +5.6% +7.4% +47.0% 8 Fabricated Knowledge 91 +3.2% +6.0% +17.4% 9 Altay Capital 55 +3.3% +5.5% +10.3% 10 TMT Breakout 529 +2.3% +5.1% +9.0% I think it's interesting that in general return dilute with # of calls. Those who concentrate and do their research call less and earn more. Median Alpha vs Benchmark (Long Calls) — Top 10 by 60d This is where it gets interesting. High returns don't always mean skill — some authors just rode the market. Rank Author Calls 30d α 60d α 180d α 1 Global Tech Research 33 +11.0% +11.8% +42.7% 2 Dick Capital 44 -1.1% +8.1% — 3 Altay Capital 55 +2.0% +4.0% +2.6% 4 Citrini Research 19 +4.6% +3.0% +14.9% 5 FundaAI 158 +1.7% +2.6% +9.8% 6 Fabricated Knowledge 91 +0.2% +1.6% +10.5% 7 TMT Breakout 529 -0.6% +1.5% -1.3% 8 Accrued Interest 81 -1.6% +0.9% -3.0% 9 Doomberg 20 -0.3% +0.6% -5.2% 10 The Setup Factory 81 +1.7% +0.3% +4.2% Notice how the rankings shuffle compared to the return table. BEP Research was #5 by returns but drops out of the alpha top 10 (60d alpha: -1.9%) — meaning their picks actually underperformed their sector benchmarks despite being up. SemiAnalysis goes from #4 to off the list (60d alpha: +0.0%). Meanwhile Altay Capital and Fabricated Knowledge climb because their picks genuinely outperformed their sectors. The five authors generating consistent alpha across horizons: Global Tech Research, FundaAI, Citrini Research, Fabricated Knowledge, and Altay Capital. The Long Game — 180d and 360d One of the biggest asks was "show me the 6-month and 1-year numbers." Here they are. 180-Day Median Return (Long) — Top 10 Rank Author Calls 180d Med 180d Med α 1 Global Tech Research 33 +67.3% +42.7% 2 Irrational Analysis 41 +47.0% +3.1% 3 SemiAnalysis 45 +43.5% +1.3% 4 Citrini Research 19 +30.4% +14.9% 5 FundaAI 158 +23.1% +9.8% 6 Fabricated Knowledge 91 +17.4% +10.5% 7 The Setup Factory 81 +15.9% +4.2% 8 Winter Gems 40 +12.5% +7.8% 9 Altay Capital 55 +10.3% +2.6% 10 TMT Breakout 529 +9.0% -1.3% The 180d view reshuffles things again. Irrational Analysis jumps from #7 (60d) to #2 — their deep value thesis takes 6+ months to play out. SemiAnalysis goes from barely positive alpha at 60d to #3 by absolute return at 180d. The market eventually catches up to good semiconductor research. 360-Day Median Return (Long) — Early Results Fewer authors have enough 360d data, so take these with a grain of salt. But interesting to see which theses survive a full year: Rank Author 360d Med 360d Med α 1 Irrational Analysis +91.6% +24.7% 2 Global Tech Research +60.1% -12.7% 3 Swiss Transparent Portfolio +55.6% +36.8% 4 Winter Gems +29.4% +22.5% 5 Fabricated Knowledge +26.7% +24.1% 6 TMT Breakout +25.0% +2.2% 7 Altay Capital +13.3% -10.3% 8 TicToc Trading +12.0% +1.8% 9 FundaAI +11.0% +8.4% 10 The Setup Factory +10.0% +4.1% Notable: at 360d, alpha matters even more than returns. Global Tech Research has +60.1% return but negative alpha — the benchmark rose even more over a full year. Fabricated Knowledge and Winter Gems are the standouts: high absolute return AND high alpha at 360d. The Volume Question Something I didn't address in Part 1: does the number of calls matter? Yes. A lot. An author making 15 calls can have a great record by being highly selective. But an author making 158 calls and still outperforming? That's a much harder thing to do. Among high-volume authors (100+ long calls): Author Long Calls 60d Med 60d Med α 60d Win% 180d Med FundaAI 158 +11.2% +2.6% 70% +23.1% Swiss Transparent Portfolio 141 -0.1% -4.9% 50% +1.9% TMT Breakout 529 +5.1% +1.5% 62% +9.0% TicToc Trading 480 +0.1% -0.7% 50% +4.6% Quality Stocks 300 +0.1% -1.7% 51% +0.0% Most high-volume authors converge toward market returns — more calls means more noise. FundaAI seems to be a good outlier. At that volume, consistency matters more than any single call. And at the bottom... Michael J. Burry: 15 long calls, 60d median return -14.2%, 60d alpha -12.7%, win rate 12%. His 23 short calls aren't much better (60d: -2.8%). Then again, The Big Short took 2 years to play out. So I guess we can have a bit more patience. What I Learned Alpha > returns. Some top-10 return authors have negative alpha — they just rode the market. The five generating real skill-based returns across multiple horizons: Global Tech Research, FundaAI, Citrini Research, Fabricated Knowledge, and Altay Capital. Volume and quality don't usually coexist. Most authors either pick a few winners or spray-and-pray. The rare exception that maintains quality at high volume stands out in the data. Time horizon changes everything. SemiAnalysis is mediocre at 30d but incredible at 180d. Irrational Analysis barely cracks the top 10 at 60d but is #2 at 180d. If you pick newsletters based on 30-day numbers alone, you'll miss the deep value authors. $5,400 of my $13,400 goes to macro newsletters (James Bulltard, 10x Research, Lord Fed, etc.) that don't even appear in the stock-picking rankings. They may be valuable for market outlook, but they're not generating trackable stock picks. Something to think about. Expensive ≠ better, cheap ≠ worse. Global Tech Research ($100/yr) is #1 across nearly every metric. Altay Capital ($80/yr) is consistently top 10. Meanwhile some $500-1,000+ newsletters are mid-table. But some expensive ones (FundaAI, Citrini) also deliver. Shorts are still hard. Almost every author does worse on shorts than longs. This hasn't changed from Part 1. Cost Breakdown ~$13,400/year across 31 newsletters (USD + EUR/GBP converted): Stock Pickers (23 authors, ~$8,000/year): Author Annual Fee Author Annual Fee FundaAI $1,000 Collyer Bridge $350 Citrini Research $999 Dick Capital $300 TMT Breakout $589 Doomberg $300 SemiAnalysis $500 TicToc Trading $290 Tae Kim $480 Irrational Analysis $200 The Setup Factory $450 Global Tech Research $100 Best Anchor Stocks $449 Earnings Edge $100 Michael J. Burry $439 Altay Capital $80 ZA Stocks $400 Quality Stocks $70 BEP Research $400 Winter Gems $50 Fabricated Knowledge $400 Swiss Transparent ~$43 Accrued Interest $80 Macro & Sector (9 authors, ~$5,700/year, not ranked): Author Annual Fee Author Annual Fee James Bulltard $1,099 Shrubstack $500 Lord Fed ~$1,010 Macro Charts $400 10x Research $948 Paulo Macro $360 Eliant Capital $760 The Overshoot $330 Clouded Judgement Free Methodology Source: Crawled every article from all 31 Substack authors. 1,780+ articles (stock pickers only) analyzed. Extraction: Gemini AI identifies high-conviction stock picks — not casual mentions, but tickers the author dedicates real analysis, specific data, or price targets to. Spot-checked against manual reads. Deduplication: If an author calls the same ticker within 14 days, only the first mention counts. Different authors calling the same stock are tracked independently. Benchmarks: Each ticker is mapped to its sector ETF for alpha calculation. If a semi stock goes up 10% and SOXX goes up 8%, the alpha is +2%. Survivorship bias: Only tickers with available price data on yfinance are tracked. Delisted, some international, and typos are excluded. This was a bull market year. Many authors are long-biased. Absolute returns look good partly because the market went up. That's why alpha matters. Data cutoff 2026-03-03. Returns calculated before the Iran conflict affected markets. The Biggest Limitation (Read This) I want to be upfront about the single biggest weakness of this entire system: the AI extraction is only as good as the writing is clear. Every article gets sent to Gemini 3.5 with a structured prompt that asks: "Is this a high-conviction bullish or bearish call?" The model looks for explicit directional conclusions, dedicated analysis (≥3 sentences per ticker), independent supporting arguments, and quantitative data. The problem is that many newsletter authors write in nuanced, hedged, or indirect ways. An article might spend 2,000 words building a thesis and then conclude with "we remain cautious but see long-term potential”, is that bullish or bearish? The AI has to make a judgment call, and sometimes it gets it wrong. I manually checked a number of the posts and to be very honest, it’s hard for me to understand whether the author meant “buy now” or “this has potential but we will see”. This affects some authors more than others. Authors who write clearly ("We are bullish on X, price target $Y") get extracted accurately. Authors who write in a more academic or hedged style get noisier results. The rankings are therefore partially a function of writing clarity, not just stock-picking skill. I've published the exact Gemini prompt I use so you can judge for yourself how the extraction works (at the end of the post). For technicality, the model temperature was set to 0 for reproducibility, if you care to know. A suggestion for Substack authors: if you want your calls tracked accurately (by me or anyone else), consider adding a clear summary at the top or bottom of each article — something like "Positions: Long NVDA, Short CRM." It takes 10 seconds and eliminates all ambiguity. The more explicit you are, the more fairly your track record gets measured. Happy to answer questions. Roast my methodology. Tell me what to add for Part 3. Positions: long several names mentioned by top authors. Not financial advice. Gemini prompt for reference: ROLE: You are a professional financial analyst. Deeply analyze the following newsletter article and extract investment-related information. PHASE A - Candidate Identification Only identify companies/tickers explicitly mentioned in the article If a company name can't be uniquely mapped to a ticker (multi-listed or ambiguous, skip it - do not guess Every candidate must have a supporting evidence sentence from the text PHASE B - Classification & Conviction Rating Assign direction: bullish / bearish / neutral Conviction: only high or low HIGH conviction requires ALL FOUR conditions simultaneously: Clear directional conclusion (long/short), not just factual description ≥ 3 dedicated analysis sentences about this specific ticker ≥ 2 independent supporting arguments ≥ 1 quantitative data point (valuation / growth / guidance / target / financials) → If ANY condition is not met → low Neutral → always low Same ticker in both bullish and bearish → neutral (low) KEY RULES (Strict) Determine article_type first, then extract tickers: macro: macro/policy/rates/geopolitics focused, stocks as examples only stock_analysis: core is company/stock analysis with investment conclusions mixed: both macro and stock-level depth If article_type = macro OR title contains weekly/update/roundup → default ALL tickers to low; only upgrade to high if all 4 conditions met 3) Companies merely "cited as examples" in sector discussion → low 4) If article is not investment-related → return empty arrays SELF-CHECK BEFORE OUTPUT All neutral entries must be low conviction No duplicate tickers No conflicting directions for the same ticker Every high-conviction call must satisfy all four submitted by /u/PrimaryConcern2608 to r/wallstreetbets [link] [comments]

EDIT (March 2): Thanks you guys for the incredible feedback, working on two new features 1. Longer time horizon: adding 6m / 12m return windows for all substacks 2. More newsletters: adding Citrini / Dick cap / funddai / irrationalanalysis / taekim / bpresearch. lemme know if you have new nominations. ############################################### This sort of blew up on r/ValueInvesting so posting here too. I work in AI and started trading casually last year. Like any good regard, I immediately subscribed to every investing newsletter I could find on Substack. 23 paid subscriptions. $9,600/year, including Michael Burry's. The problem? I can't actually read them all. And I have no idea which ones are worth the money. So I did what any engineer would do — I wrote codes to find out. What I Built A pipeline that: - Crawls every article from 23 paid Substack authors (1,782 articles over the past year) - Uses Gemini AI to extract high-conviction stock picks only — not casual mentions, but tickers the author actually analyzed in depth - Tracks returns at 1d, 7d, 15d, 30d, and 60d after publication - Calculates alpha vs sector benchmarks (SOXX for semis, IGV for SaaS, XLF for financial services etc) - Dedupes: if the same author calls the same ticker multiple times within 14 days, it only counts once (first mention wins). Different authors calling the same ticker are tracked independently Total dataset: 3,519 high-conviction calls tracked over 1 year. The Results 30-Day Absolute Return Leaderboard (Long Calls) Rank Author Calls 30d Avg Return 1 Global Tech Research 50 +14.9% 2 Paulo Macro 21 +9.5% 3 Collyer Bridge 89 +8.7% 4 Doomberg 79 +7.8% 5 SemiAnalysis 80 +7.5% 6 Altay Capital 15 +7.2% 7 The Overshoot 24 +7.1% 8 The Setup Factory 285 +6.7% 9 Fabricated Knowledge 50 +5.8% 10 Macro Charts 72 +3.6% 30-Day Alpha vs Benchmark (Long Calls) Rank Author Calls 30d Avg Alpha 1 Global Tech Research 50 +9.4% 2 Paulo Macro 21 +6.8% 3 Altay Capital 15 +5.2% 4 Collyer Bridge 89 +4.8% 5 The Setup Factory 285 +4.3% 6 Doomberg 79 +3.8% 7 SemiAnalysis 80 +3.4% 8 Lord Fed 86 +3.1% 9 The Overshoot 24 +1.8% 10 Shrubstack 100 +1.5% 30-Day Win Rate (Long Calls) Rank Author Calls Win Rate 1 Paulo Macro 21 85% 2 Altay Capital 15 85% 3 Global Tech Research 50 81% 4 The Overshoot 24 79% 5 Doomberg 79 72% But 30 Days Isn't the Whole Story 30d is a reasonable window for swing traders, but some of these authors are deep value investors with 6-12 month theses. Here's what the 60-day numbers look like — the rankings shift significantly: 60-Day Absolute Return Top 10 (Long Calls) Rank Author Calls 60d Avg Return 1 Global Tech Research 50 +26.7% 2 SemiAnalysis 80 +16.7% 3 Fabricated Knowledge 50 +14.2% 4 Altay Capital 15 +13.7% 5 Doomberg 79 +12.6% 6 Paulo Macro 21 +12.1% 7 Macro Charts 72 +11.1% 8 The Setup Factory 285 +10.8% 9 The Overshoot 24 +9.6% 10 TicToc Trading 180 +8.9% Notable shifts: Fabricated Knowledge jumps from #9 (30d: +5.8%) to #3 (60d: +14.2%). Altay Capital goes from +7.2% to +13.7%. Deep value theses need time to play out. Conversely, Collyer Bridge drops out of the top 10 at 60d — their edge is more short-term. Take these numbers for what they are: one time horizon among many. A 60d or even 90d window would tell a different story for buy-and-hold investors. This is for information, not gospel. And at the bottom... Michael J Burry: 24 long calls, 30d avg return +0.1%, 60d avg return -11.1%, 30d alpha -2.7% (60d alpha: -11.4%). Then again, The Big Short took 2 years to play out — maybe his thesis just needs more time than our 60-day window can capture. Methodology Caveats (Please Challenge This) I want to be upfront about limitations: AI extraction isn't perfect. Gemini parses articles and extracts ticker calls. To reduce noise, we only count high conviction — where the author dedicates multiple paragraphs, specific data, or explicit price targets. Passing mentions are filtered out. We validated this. Spot-checked extraction accuracy against manual reads, and cross-verified with alternative model outputs (codex / claude). It's not 100%, but it's consistent. Survivorship bias matters. We only track tickers with available price data. Delisted stocks, non-US tickers without yfinance data, and typos get counted as No Data and excluded from return calculations. This is a bull market. Many of these authors are long-biased. Absolute returns look good partly because the market went up. The alpha column adjusts for this using sector-specific ETF benchmarks. The full dataset is available. All 3,519 calls, every author, every ticker, every return at every horizon. You can audit everything. I will put up the link later. What I Learned The expensive ones aren't always the best. Some of the top performers cost 80−360/year.Some1,000+ newsletters are mid-table. Volume ≠ quality. Authors with 300+ calls often have mediocre win rates. The ones with 15-80 highly targeted calls tend to outperform. Shorts are hard. Almost every author has worse short performance than long. The few exceptions (Global Tech Research shorts: -20.5% at 60d) are impressive outliers. Michael Burry's Substack picks haven't worked yet — but his most famous trade took 2 years, so the jury's still out. Total Cost Breakdown $9,599/year across 23 newsletters. Here's every single one: Author Annual Fee Author Annual Fee James Bulltard $1,099 Paulo Macro $360 Lord Fed ~$1,000 Collyer Bridge $350 10x Research $948 The Overshoot $330 Eliant Capital $760 Doomberg $300 TMT Breakout $589 TicToc Trading $290 SemiAnalysis $500 Global Tech Research $100 Shrubstack $500 Earnings Edge $100 The Setup Factory $450 Altay Capital $80 Best Anchor Stocks $449 Quality Stocks $70 Michael J Burry $439 Winter Gems $50 Fabricated Knowledge $400 Swiss Transparent Portfolio ~$40 Macro Charts $400 Total ~$9,599 If I could only keep 5 based on this data: Global Tech Research (100),PauloMacro(360), Doomberg (300),SemiAnalysis(500), The Setup Factory (450).That′s1,710/year — 82% cheaper and probably better returns. Shoutout to every author on this list. Even the bottom-ranked ones taught me more about markets than any YouTube video. This isn't meant to trash anyone — just data. Happy to answer questions. Roast my methodology. Tell me I'm wrong. That's how this gets better. Full methodology + data / charts: https://x.com/pyhrroll/status/2027374283669066045?s=20 Positions: long several names mentioned by top authors. Not financial advice, obviously. submitted by /u/PrimaryConcern2608 to r/wallstreetbets [link] [comments]

I made $200 in the last 2 weeks from mine. Proof in comments if you don’t believe me. My goal is $2k/month by end of year. And no, I’m not going hard on this, I’m putting in maybe 1-2 hours a week. So that’s why it’ll take 10 months instead of 2. Slow and steady but basically passive so I’m not complaining. Anyway here’s what I’m doing if you want to copy it: Niche first Finance pays the best CPMs but don’t just do “finance.” Go specific. Finance for single moms, stock market for complete beginners, that kind of thing. AI is also a solid bet right now, it’s genuinely exploding. Health, dating, local news — all work too. Just pick something and commit. Build it like a company not a diary Seriously don’t attach your name to it. You want something you could sell one day. A newsletter with your name on it is a freelance gig. A newsletter brand is an actual asset. Different things. Platform Substack is free and fine for starting. I use beehiiv. Better customization and they have their own ad network built in, which means you can monetize from day 1 without finding a single sponsor yourself. That alone sold me on it. Getting subscribers This is where most people get stuck. Options are: Meta ads — reliable but expensive. beehiiv has a paid boost feature too where other newsletters basically send their readers your way. Both cost money though. Free route is content. X, LinkedIn, Reddit. Reddit has been my main thing. I post about side hustles, people find value in it, they subscribe. Got around 150 new subs just last week from Reddit. This exact type of post is how I do it. Sending issues Just send consistently. AI helps a lot with organizing and formatting but you still have to know how to use it properly or the output is terrible. I use it as a tool not a ghostwriter. (Writing this post myself by the way, hence the grammar crimes lol) Money Small newsletter? Use the beehiiv ad network. I’m at 2k subscribers and making $15-20 per issue from it. Not retiring off it but I’m sending the newsletter anyway so it’s basically found money. Hit 5k and you can start going after real sponsors — $100 to $400 per placement depending on your niche. That’s when it gets genuinely interesting. You can also do digital products or affiliate stuff on top of that. Multiple streams from the same audience. Autopilot Once you’re at 5k, set up a beehiiv boost at like $1.50-$2 per subscriber. Keep some budget running and you get new subscribers without doing anything. For the actual issues, either get a VA or build out an AI workflow that does the heavy lifting. You just review and send. Sponsors tend to stick once you have a relationship going. End result: $2k/month for a couple hours of work a week. That’s the goal anyway. If you want to go bigger — $15k, $50k, $1M/month (yes those newsletters exist) — that’s a whole different level of effort. But that’s not what this post is about. Started writing this thinking it’d be 200 words. Oops. Drop any questions in the comments, happy to answer. Proofs going in comments too 👇​​​​​​​​​​​​​​​​ submitted by /u/Remarkable_Junket185 to r/Business_Ideas [link] [comments]

This is gonna sound super niche, but I started an AI EMAIL newsletter for my area 2 months ago and it's turned into way better income than I expected. I use AI to create the email newsletter content. Takes like 30 minutes a day it gathers all the local news in the area and rewrites it in a fun, more entertaining way than most news outlets that bore you to death. Thats why I actually started it, local news was soooo boring to read. People have really liked it and we're getting new subscribers FAST. The way it makes money is through local businesses wanting to advertise and sponsor the newsletter. We have an audience of people in my area, so my audience is appealing to them. Our sponsorship model is pretty straightforward. We send out one email newsletter every day, and each email features one sponsor. Sponsors pay around $400 per month and get their ad featured once a week for four weeks total (so 4 placements throughout the month). Right now we have 6 sponsors rotating through our daily newsletters, which brings in $2,400 per month in revenue. We're still small, so we're testing different pricing, but as our subscriber count grows, I'll probably double those rates. Plus I'll be adding a premium feature that will be a subscription ($10-$20/mo), so I think that will add A LOT of new revenue (estimating +$4,500/mo). We get email subscribers from posting on Facebook and Instagram as well as ads ($10/day). The best part is, like I mentioned, it takes like 30 minutes a day to create the newsletter each day because AI is doing 99% of the heavy lifting. Initial investment was a $20/mo subscription for Claude, the software I use to send the newsletter is free for the first 1,000 email subscribers. Only annoying part is getting sponsors and negotiating with them but thats just business lol, once you have them and they get good results, they keep paying. EDIT: Here's an example of what our newsletter content looks like. Our newsletter design is much nicer with images,etc. this is just a text example: https://imgur.com/a/qTVvLdM I used Austin, Texas instead of my actual city because I don't want people outside my area subscribing and skewing my metrics. Keeping my audience hyper-local is the whole point, so I swapped in a different city to show the format without opening the floodgates. Im getting so many questions about this i just decided to make a video explaining everything: https://www.youtube.com/watch?v=35qKJN1Peus submitted by /u/Less_Piglet_1635 to r/OnlineIncomeHustle [link] [comments]

Wrestler of the Year (Lou Thesz/Ric Flair Award): Mistico Most Outstanding Wrestler: Konosuke Takeshita Match of the Year: Kenny Omega vs Gabe Kidd Best Box Office Draw: John Cena Promotion of the Year: CMLL Promoter of the Year: Salvador Lutteroth Best Booker: Tony Khan Tag Team of the Year: Young Bucks Best Weekly TV Show: Dynamite Best on Interviews: Hangman Most Improved: Harley Cameron Most Charismatic: John Cena Japan MVP: Saya Kamitani Mexico MVP: Mistico US/Canada MVP: Mox Europe MVP: Michael Oku Women’s Wrestling MVP: Saya Kamitani Feud of the year: Mox/Hangman Most Underrated: The Beast Mortos Most Overrated: Jey Uso Best Brawler (Bruiser Brody award): Mox Best Technical Wrestler (Bryan Danielson award): ZSJ Best Flying Wrestler: Máscara Dorada Danny Hodge Memorial Award (Non-Heavyweight MVP) : Mistico Best Television Announcer: Bryan Danielson Worst Television Announcer: Booker T Best Major Wrestling Show: AEW All In 2025 Worst Major Wrestling Show: WWE Wrestlepalooza Best Wrestling Maneuver: Hangman's Buckshot Lariat Most Disgusting Promotional Tactic of the Year: WWE bringing back Brock Lesnar Rookie of the Year: Seri Yamaoka Best Non-Wrestler: Don Callis Worst Match of the Year: John Cena vs. Cody Rhodes Worst Feud of the Year: Anthony Bowens vs. Max Caster Worst Promotion of the Year: WWE Best Gimmick: "Timeless" Toni Storm Worst Gimmick: Heel John Cena Worst Television Show: NXT submitted by /u/sallykroos to r/SquaredCircle [link] [comments]

submitted by /u/WatchOnTheSaintClair to r/simpsonsshitposting [link] [comments]

Been building a local newsletter since July 2025, here's my tools, monthly expenses and rev breakdown. Open (58%) CTR (9%) Jan Expenses ($714.98): Beehiiv $109.00 Meta Ads $496.77 Stripe Fees $8.46 CapCut $10.00 Meta verified $70.75 Manychat $10.00 Canva $10.00 Jan Rev ($516.81) Beehiiv ad network ($40.81) Beehiiv boosts ($16) Sponsorships ($460) Notes: Definitely set up manychat if instagram is your main social only paid for meta verified after my ad account was hacked and disabled in Nov to try and get better support, it's still disabled. going from the old beehiiv website builder to the new one, it removed my signup flow so I didn't make as much as I normally do ~$80. Free daily events is a great way to get followers (and subs) on IG submitted by /u/mikeratchertson to r/Newsletters [link] [comments]

submitted by /u/No_Willingness_3927 to r/Deltarune [link] [comments]

https://www.cnbc.com/2025/11/24/michael-burry-launches-newsletter-to-lay-out-his-ai-bubble-views-after-deregistering-hedge-fund.html Michael Burry, the investor who shot to fame for calling the housing crash before 2008, has launched a Substack newsletter after deregistering his hedge fund, aiming to lay out in detail his increasingly bearish thesis on artificial intelligence. “The Big Short” investor is capitalizing on the massive audience he’s built on X, where 1.6 million followers have long parsed his cryptic posts. His new publication, titled “Cassandra Unchained” with a $379 annual subscription fee, arrives with a familiar warning: He believes markets are once again deep in bubble territory. In announcing the launch, Burry referenced the parallels between the late 1990s tech mania and today’s rush into AI and how the bubbles have been ignored by policymakers, in his view. ″Feb 21, 2000: SF Chronicle says I’m short Amazon. Greenspan 2005: ‘bubble in home prices … does not appear likely.’ [Fed Chair Jerome] Powell ’25: ’AI companies actually… are profitable… it’s a different thing. ’I doubted if I ever should come back. I’m back. Please join me,” Burry wrote in a post Sunday night on X. He highlighted then-Fed Chair Alan Greenspan’s 2005 insistence that U.S. housing prices showed no signs of a bubble, just two years before the subprime implosion validated Burry’s famous “Big Short.” And now he contends history is rhyming again. Like the dot-com era, investors are extrapolating exponential growth, dismissing profitability concerns and funding massive capital expenditures on the assumption that the technology will rewrite the economy, he believes. Burry took it as an eerie echo of the assurances offered by Greenspan two decades ago. At the height of the dot-com boom, Burry was publicly short Amazon. Today, he has been openly bearish on the poster children of the AI boom, Nvidia and Palantir submitted by /u/WickedSensitiveCrew to r/stocks [link] [comments]

This is outright false. I am disgusted and offended that he thinks that the majority of us believe this? A simple fact check of actual LAW shows that illegal immigrants are not eligible for free healthcare. And guess what, none of us are! What’s really happening is that Dave McCormick and others do not want to change their big beautiful bill to allow the tax credits to be extended for the affordable care act. It’s not free. It’s for working citizens who qualify because their income falls below a certain level. It allows them to pay less for their premiums. But they’re still paying for their premiums. If the Republicans don’t change their minds and agree to this tax credit, these people are going to end up with increased premiums that will be doubled. So instead of paying $1000 a month for their premium, they will have to pay $2000. Considering what inflation is right now, why would you do that to your neediest American citizens? We are not being represented. It is taxation without representation. Sound familiar? submitted by /u/WinterTiger6416 to r/Pennsylvania [link] [comments]

submitted by /u/Knightbear49 to r/technology [link] [comments]

https://mega.pokemon.com/en-us/?email_signup=true&utm_source=eventsignage&utm_medium=referral&utm_campaign=brand_emailcapture&utm_content=5x8flyer&utm_term=sdcc2025-yome I haven't seen this posted yet. You need to check all 3 boxes and use a new email. The 24 hourglasses come several minutes after. Edit: You may need to be in the US to get the code. I used a US VPN. I said "several minutes" originally but I must have lost track of time. It might be 30 minutes lol. Edit (again): Just wanted to outline the steps: Check all 3 boxes Select United States from the dropdown (you don't need a US VPN according to comments) Enter a DOB (>18 just to be safe but might not be required) Wait 5-45 mins for an email with the code (one person said it took 4hrs tho) submitted by /u/Shiny_Marc to r/PTCGP [link] [comments]

Hey everyone 👋 I launched a free newsletter in 2020 when I was furloughed from my job and figured I had nothing to lose. The idea came after managing a 10K+ member Facebook group that kept asking for a more streamlined way to get our tips, so we started the newsletter with ~3K subscribers on day one. A few things to be transparent about upfront: ✅ I have 3 cofounders, 2 of whom are experienced entrepreneurs. ✅ Those 2 cofounders had a B2B blog that, at its height, was getting ~1M visits/month — which we leveraged to grow the newsletter organically for our first 3 years. ✅ So yes, definitely some unfair advantages vs. someone starting from absolute scratch. But since launching, I’ve spent the last few years obsessively learning how to grow & monetize newsletters, and love helping other operators do the same. Some quick lessons if you’re starting out or trying to grow: Network with other newsletters. Free swaps are one of the best ways to grow. Basically: you mention them, they mention you. If they’re 3x your size, you can balance it by sending them 3 mentions to their 1, or (my preference) by basing it on actual subs driven. If their mention brings you 100 subs and yours brings them 50, even it out with more sends. Engagement > vanity size. It’s better to have 10K highly engaged readers than 100K passive ones who never click or open. Talk to other operators. Everyone I’ve met in this space is super kind and helpful. Reach out, offer value, and learn fast. Be picky with sponsors. Don’t take every deal. It’s better long term to work with sponsors that actually resonate with your audience, so campaigns perform well and they renew. Survey your audience. Most newsletters don’t do this enough. You’ll learn what content keeps them engaged and gather the kind of first-party data that makes it easier to pitch sponsors (they care a ton about audience demographics & interests). Don’t blindly trust open & click rates. Open rates are heavily inflated these days by Apple privacy auto-opens and corporate firewalls that trigger bot clicks. Click rates are slightly better, but can still messy. The best ESPs are the ones investing in third-party tools to validate real opens and clicks. Honestly, one of the best signals of engagement is still replies — hard to fake that (even though you do get spam replies). We started investing in paid media in August 2023 and are now pacing for $2M+ this year, with 200K+ subscribers. AMA about literally anything: monetization, sponsorships, growing organically, paid growth, building partnerships, esp platforms, scaling ops, or how to keep your readers around. submitted by /u/Either_Fisherman_528 to r/Newsletters [link] [comments]

THIS HAS BEEN RESOLVED, PLEASE DO NOT HARASS THE FORMER MODERATORS OF r/WORLD WHO WERE SIMPLY BROUGHT ON TO MODERATE A GROWING SUBREDDIT. ALL INVOLVED NEFARIOUS SUBREDDITS AND USERS HAVE BEEN SUSPENDED. r/world, r/newsletter, r/investinq, r/tech_news You may have seen posts on r/world appear in your popular feed this week, specifically pertaining to the Los Angeles protests. This is indeed a "new" subreddit. Many of the popular posts on r/world that reach r/all are posted not only by the subreddit's moderators themselves, but are also explicitly designed to frame the protestors in a bad light. All of these posts are examples of this: https://www.reddit.com/r/world/comments/1l5yxjv/breaking_antiice_rioters_are_now_throwing_rocks/ https://www.reddit.com/r/world/comments/1l6n94m/president_trump_has_just_ordered_military_and/ https://www.reddit.com/r/world/comments/1l6y8lq/video_protesters_throw_rocks_at_chp_officers_from/ https://www.reddit.com/r/world/comments/1l6bii2/customs_and_border_patrol_agents_perspective/ One of the recently-added moderators on r/world appears to be directly affiliated with Palantir: Palantir_Admin. For those unfamiliar with Palantir: web.archive.org/web/20250531155808/https://www.nytimes.com/2025/05/30/technology/trump-palantir-data-americans.html A user of the subreddit also noticed this, and made a post pointing it out: https://www.reddit.com/r/world/comments/1l836uj/who_else_figured_out_this_sub_is_a_psyop/ Here's Palantir_Admin originally requesting control of r/world, via r/redditrequest: https://www.reddit.com/r/redditrequest/comments/1h7h7u9/requesting_rworld_a_sub_inactive_for_over_9_months/ There are two specific moderators of that sub, Virtual_Information3, and Excalibur_Legend, who appear to be mass-posting obvious propaganda on r/world. They also both moderate each of the three other aforementioned subreddits, and they do the exact same thing there. I've added this below, but I'm editing this sentence in for emphasis: Virtual_Information3 is a moderator of r/Palantir. r/newsletter currently has 1,200 members. All of the posts are from these two users. None get any engagement. This subreddit is currently being advertised on r/world as a satellite subreddit r/investinQ (intentional typosquat, by the way) has 7,200 members. Nearly all of the posts are from these two users. None get much engagement. r/tech_news, 508 members. All posts are from these two users. None get any engagement. I believe what we are witnessing is a coordinated effort to subvert existing popular subreddits, and replace them with propagandized versions which are involved with Palantir. Perhaps this is a reach, but this really does not pass the smell test. EDIT: r/cryptos, r/optionstrading, and r/Venture_Capital appear to also be suspect. EDIT 2: I've missed perhaps the biggest smoking gun - Virtual_Information3 is a moderator of r/palantir EDIT 3: Palantir_Admin has been removed from the r/world modteam FINAL EDIT: ALL SUSPICIOUS SUBREDDITS AND MODERATORS HAVE BEEN BANNED. THANK YOU REDDIT! All links in this post which are now inaccessible have been archived in this comment: https://www.reddit.com/r/SubredditDrama/comments/1l8hno6/comment/mx532bh/ submitted by /u/nincompoop221 to r/SubredditDrama [link] [comments]

submitted by /u/NelsonChunder to r/LeopardsAteMyFace [link] [comments]

It's out!: https://toby.fangamer.com/newsletters/autumn24/ submitted by /u/lele0106 to r/Deltarune [link] [comments]