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OpenOrb, a curated search engine for Atom and RSS feeds

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OpenOrb, a curated search engine for Atom and RSS feeds

Alternative search engines are neat, as are RSS feeds. OpenOrb is a self-hosted app which allows visitors to search over a list of blogs you love. If you put your 10 favourite blogs in there, it'll search just those blogs and not show you any sponsored content or machine-generated garbage (unless... you follow blogs written by machines?) Personal RSS feed readers can usually do this sort of thing, but RSS readers aren’t meant to be shared, so you can think of the search engine as a 'curated feed list as a public service'. I wrote a longer blog post about OpenOrb here: https://raphael.computer/blog/openorb-curated-search-engine/

Visit productView on Hacker NewsApr 22, 2024
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
76%76% 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 · Missing: https docs, excited, just released
65%65% 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 HuntOn track for Day 1 leaderboard · Strong signals: mac, computer, open · Missing: agents, macos, agent
54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs
36%36% 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
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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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