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Real-Real-Time Chat

Hacker News

Real-Real-Time Chat

Hi HN! Few months ago I've shared a new kind of markdown editor that we (a team of three from the Czech Republic) have been working on (HN post: https://news.ycombinator.com/item?id=46144801 ). What resonated with folks the most was Kraa's unique ‘real-real-time’ chat feature. We have now acted on this feedback, improved the chat features, and made what we call Kraa Trees. Trees allow anyone to create a light-weight community / chat channels. It would be a stretch to call it an alternative to Discord, yet, but we hope that the frictionless nature of Trees will make them useful for small groups that want something simpler, more immediate, and less cluttered. With the live-typing being one of the key differentiating features. You can create your own community/rooms by selecting "Tree of leaves" in the New leaf button dropdown. You don't need an account to try Kraa nor Kraa Trees. We would love to know what you think!

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Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos
82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
80%80% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · 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
18%18% 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, cryptocurrency
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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