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Playback – Interactive Programming and Print Debugging Reimagined

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Playback – Interactive Programming and Print Debugging Reimagined

Ladies and gentlemen of a Lisp persuasion, Clojurians and Clojuristas, followers of the paren and everyone else covetously eyeing the greener grass, I made an open-source thing that I would like to share with you. My elevator pitch is that it'll make you forget all about regular print debugging in 10 minutes straight. The slightly longer pitch is this: #>(tag'n'trace any Clojure(-Script) form to `tap>` and Portal with automatic last-input function replay on eval, instant re-render and hassle-free insertion of traced data into the REPL) And before I end up pasting half the README here in bits and pieces, just go and check out the damn thing, will ya. There's a screencast and everything. https://github.com/gnl/playback

Visit productView on Hacker NewsJul 20, 2023
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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
76%76% 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 HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos
54%54% 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
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
23%23% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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