Al

Algosaur – cloud scripts for automation

Hacker News

Algosaur – cloud scripts for automation

Hello HackerNews! I would like to show you a concept project I've been working on for some time: https://algosaur.com The initial idea was to create a platform capable of hosting small scripts which I constantly make for work and grating everyone access to them, without the need for downloading anything from github or console knowledge requirements. For ease of users' understanding I had to rename "scripts" to "bots" though. If you are a developer you can hook your service to the platform and make it available to the public. If you know Ruby, you can plug your script directly (you'll have to contact me for this option though). Python can also be available in a matter of a week or two, if anyone ever shows interest. Thanks for your time and looking forward to your feedback.

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Actual performance

2points
8comments
Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
84%84% 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.
AppSumoStrong fit for a featured deal · Strong signals: platform, host, users · Missing: plus, intuitive, reviews
59%59% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
54%54% 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: users · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user, new · Missing: mac, agents, macos
41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
13%13% 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.

Incorrect prediction on native model

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