Ed
Edit-This.Page – Instant Publishing, Zero Friction
Hacker NewsEdit-This.Page – Instant Publishing, Zero Friction
Hi there, I'm Neil. The author/founder/person behind this. Edit This Page is now a whole two weeks old WOOHOO! And it's looking a little more fleshed out now. Lots of new features such as listing pages, rudimentary chat, timeline, attribution, (very optional) accounts and more. The mobile experience is somewhat improved. Of course bugs a plenty still - but I wanted to share for some more early feedback. Thanks as ever folks!
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Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos73%73% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released39%39% 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, personal26%26% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive22%22% 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, revenue20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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