Find, Join or Create RnD projects; get your creative juices flowing

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Hello fellow startup-ers, I am delighted to introduce baoRnD to you. baoRnD stands for Open and Borderless Research and Development. Aside from RnD tools, what you can do on baoRnD includes: create RnD projects for people to follow or support get support (including financial, material, etc) find RnD projects to work on. find other researchers to work on your RnD project. find equipment/lab space for your RnD work others Think of baoRnD as GitLab + LinkedIn but for projects involving little or no code. it does not mean programmers cannot use baoRnD (in fact some are using it) but there are currently products better suited for programmers than baoRnD. Get your creative juices flowing today. Please support us by signing up or joining the waitlist. You can contact me with feedback on aa@baornd.com

Visit product View on Hacker NewsSep 18, 2022

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Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting

79%79% 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 · Strong signals: using, code, open · Missing: mac, agents, macos

71%71% 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, including · Missing: https docs, excited, just released

37%37% 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, personal

36%36% 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

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: introduce · Missing: web3, chat, crypto

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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