Sn
Snaplive (web editor) demo #1
Hacker NewsSnaplive (web editor) demo #1
I don't know if you remember, but I've been posting in the past about my web editor project called Snaplive. Well, a first version of the demo is online, I would love to know what you guys think. There's a screencast on Vimeo that explains things a little: https://vimeo.com/83603848 To try it out: 1) visit http://snaplivedemo.com/new/ and wait until your demo is created 2) refresh the page 3) have fun playing with it :-)! This is just the first version, but...
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Product HuntOn track for Day 1 leaderboard · Strong signals: new, plain · Missing: mac, agents, macos59%59% 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.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting54%54% 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 released46%46% 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, personal33%33% 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, revenue16%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, crypto0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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