Rostra – Scroll the Greats

Hacker News

I'm tired of news, fads, and the daily slop, but I do think the feed is a great invention. So instead of nobodies, I'll scroll the greats. Read the latest from top practitioners, or read old books - nothing in between. Why listen to a random X account's take on AI coding, seed oils, Iran; or an anon telling you how to spend your time? On topics that don't change quickly - relationships, human nature, how to live a good life - I'll take the Cicero's, Marcus Aurelius', Lao Tzu's, the greats of mankind any day. -- The Rostra was the platform in ancient Rome where orators addressed the people. Read history's greatest ideas in Rostra; life is too short for anything else. readrostra.com

Visit product View on Hacker NewsMar 25, 2026

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

74%74% 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, coding · Missing: mac, agents, macos

59%59% 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 · Missing: https docs, excited, just released

46%46% 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

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

23%23% predicted probability of success on AppSumo, 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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