RF

RFSH – A Free-forever flows running tool

Hacker News

RFSH – A Free-forever flows running tool

At the first point of view, I want to create a tool which can help our team run the bash script easier, faster, safer, with clearly reports, so I build RFSH. To me, the first ability of good software is privacy matter. I want to create a good software and I don't want to make rich by charging on things running on your own resources (your computer, your server, your cloud,...). So basically, RFSH will be free-forever for usage. You put a .csv file, a bash script as a template file, RFSH will take care the rest, then you will receive the clearly reports after all. Things happen on your machine, safe and sound.

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Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
61%61% 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.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: mac, computer · Missing: agents, macos, agent
38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
33%33% 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
24%24% 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
17%17% 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.

Correct prediction on native model

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