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Search >34k niche blogs and RSS feeds
Hacker NewsSearch >34k niche blogs and RSS feeds
hi HN! as part of the https://blaze.email project (automated tech newsletters and content search), I've added a feature to search all of the blogs and feeds that I've indexed. You can search by adding 'type:feeds' and some keywords in the search box. A bit janky I know, but I've found it quite interesting and hopefully some others might too. I was thinking about adding an opml export function to this, but I'm open to ideas, and any general feedback you might have. thanks :)
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Product HuntOn track for Day 1 leaderboard · Strong signals: new, email, open · Missing: mac, agents, macos60%60% 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, podcasting58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released51%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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue15%15% 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, crypto14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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