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Million Short Day 2 and 171,686 unique searches later - Version 2

Hacker News

Million Short Day 2 and 171,686 unique searches later - Version 2

Thx to everyone for overwhelming support and feedback. We lauched V2 today on Day 2. ______Version 2 additions: (ordered by demand) -Open search browser plug in -Settings to Add sites (like Wikipedia.com back in) -Settings to exlude even more sites -favicon added -Quick links to alter 'removal slices' -Settings for Adult filtering -Removed sites now in alpha sort order ______Quick stats: 171,686 Total Unique Searches 148,477 Absolute Unique Visitors 420,963 Pageviews peaked at 1,500 concurrent users +plus: Got some HN Love Got some Reddit Love Got some Techcrunch Love

Visit productView on Hacker NewsMay 1, 2012
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34points
20comments
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, open · Missing: mac, agents, macos
70%70% 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
52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: plus, users · Missing: platform, intuitive, reviews
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
47%47% 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 · Strong signals: users · Missing: mobile apps, ios, personal
38%38% 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
22%22% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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