210 Ideas, 351 pages – the Unvalidated Ideas 2023 Edition eBook

Hacker News

Hey HN, I wrote the Unvalidated Ideas newsletter ( https://unvalidatedideas.com ) for just over a year -- ~70 editions. While I have something like 600+ ideas, turns out they're not all good enough to send (actually, more than 50% just weren't good enough!), so I eventually ran out of ideas. I shut down the newsletter, refunded every customer whether partially, and stopped making the paid ideas available. One thing I promised to do when the newsletter ended was make a compendium of sorts with all the paid content that someone could download (a PDF eBook, essentially) for a fraction of what it would have cost to subscribe to the newsletter that long. It took me a while (you wouldn't believe how hard it was to go from markdown to decent-looking eBook PDF) but I finally put it together -- the Unvalidated Ideas eBook 2023 Edition is here. 210 ideas, 351 pages all crammed into one eBook. If that sounds like something you'd like, check it out here: https://unvalidatedideas.com You can also still read the last free edition (and earlier ones!) here: https://unvalidatedideas.com/editions/latest It was a great ride (and my first successful newsletter), so it's hard to say goodbye to thousands of subscribers but I'm a strong believer in never selling email addresses (ads maybe, but never the actual email addresses), so the email list is just getting deleted. For those who care, my stack that served 1000 < x < 2000 subscribers every week: - Svelte + SvelteKit (i.e. Typescript + NodeJS) - Listmonk ( https://listmonk.app ) - SMTP (yup, selfhosted w/ Maddy https://maddy.email ) If/when I do it again (there's a new newsletter which is focused around businesses worth $5k to $50k that are good to buy), I'm going to use Substack/Beehiiv/Ghost, but it was fun to build the stack this time.

Visit product View on Hacker NewsDec 8, 2023

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

92%92% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released

51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: beehiiv, new, email · Missing: mac, agents, macos

48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: subscribers · Missing: arr, mrr, revenue

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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