Fo

Forth.news – a news feed for credible news

Hacker News

Forth.news – a news feed for credible news

Hi HN -- I want to share a project I've been working on, aiming to make a better online news experience. We're journalists who were frustrated with how news works online. The vast majority of Americans -- and even more under 40 -- get at least some of their news from social, even if they say they don't trust social media. Further, local news is even harder to get in the hands of people who want it, because by definition it appeals to a more narrow audience. Forth.news is a newsfeed that looks like social media -- you can sign up to follow individuals, topics, and organizations -- but the feed is exclusively populated by vetted journalists. We're definitely still ramping up our coverage, so there are some blind spots -- but the idea is that you can see what's happening in your area, and get news you can trust, free of spam, misinformation, or hate speech. We have lots of stuff in the works -- including a mobile app, liking posts, etc -- but we're building as we go. We'd love to hear any thoughts - founders (at) forth (dot) news. (And if any journalists are reading this, please reach out to join -- https://journalists.forth.news ) As an aside, since it's been asked here before -- "Forth" is not a reference to the programming language. We want to be forthcoming, and in a forced pun, we're also looking to represent the Fo(u)rth Estate.

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Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: including, organizations · Missing: supports, reddit linkedin, podcasting
69%69% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos
67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io, including · Missing: https docs, excited, just released
41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: exclusive · Missing: plus, platform, intuitive
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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