DS PHP Edit: DeepSeek v4 Powered
Self-hosted, DeepSeek V4-API powered, and stubbornly local
I got tired of heavyweight IDEs that need an entire node_modules forest just to render a textbox. And I really got tired of cloud editors that send every keystroke to who-knows-where. So I wrote DS PHP Edit.
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Launch Intel predictions
Analyze your own launch →66%66% 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.
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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