Co

Colloq – async business decision making

Hacker News

Colloq – async business decision making

Hey Everyone, This is Filip from Colloq. My co-founder Viktor and I came together a few months ago based on our experience with the chaos of decision making at large or growing companies. We are building a source of truth for decision making and are launching our free beta today. From our past companies and from the 200+ businesses we've talked to, there is a theme of decisions taking a long time, confusion over roles/authority, and questions over what was decided in the end. We have a vision of centralized, structured, and asynchronous decision making for all teams. For even more background check out the PH post: https://www.producthunt.com/posts/colloq-2 Any feedback is more than welcome!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
48%48% 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: month · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
28%28% 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, revenue
24%24% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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