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Open-source and transparent alternative to Honey

Hacker News

Open-source and transparent alternative to Honey

Hey everyone, After watching MegaLag’s investigation into the Honey affiliate scam, I decided to create something better. I’m 18, an open-source enthusiast, and this is my first big project that’s actually getting some attention. It's called Syrup, a fully open-source and transparent alternative to Honey. My goal is to make a browser extension that’s honest, ethical, and user-focused, unlike the Honey. I’m still figuring things out, from maintaining the project on GitHub to covering future costs for a custom marketing website. It’s not easy balancing all this as a university student, but I’m managing as best as I can because I really believe in this project. If you’re interested, check it out! I’d love feedback, contributions, or just help spreading the word. Thanks for reading, and let’s make something awesome together.

Visit productView on Hacker NewsDec 28, 2024
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Actual performance

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, open · Missing: mac, agents, macos
78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
77%77% predicted probability of success on Indie Hackers, 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
59%59% 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
50%50% 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
36%36% 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
15%15% 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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