Oldest Search – Search for the oldest result on internet

Hacker News

Oldest Search is a custom google search that specifically targets the oldest entries available. I'm always curious about the first entries for certain data on the internet, it's a valuable perspective builder. I personally like news articles that have been digitized that were written in the pre-internet era. Unfortunately some results don't always work well because pages have been dated incorrectly. For example, searching "Covid" shows recent results. I launch new projects like this daily: small tools to increase human agency. I'm also very open to suggestions to improve!

Visit product View on Hacker NewsMay 10, 2022

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, new, open · Missing: mac, agents, macos

83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal, google, way · Missing: mobile apps, ios, entrepreneurs

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: lua, io · Missing: https docs, excited, just released

30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · 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 · Missing: web3, chat, crypto

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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