Flashlight – A portable tool to shine a light on your data

Hacker News

Hello, I am Cliff and I built Flashlight, a versatile data platform. Flashlight is meant to ingest arbitrary text-based data and allow filtering, transformation and visualization. Think logs, JSON/XML files, JSON REST responses and more. This is the Public Alpha, I invite everyone to try it out and tell me what you think. I expect to hear a lot about the lack of documentation. There is currently documentation, but it is not as comprehensive as I think is needed, so I am looking for pain-points and other issues that really NEED to be in the documentation. After that, I will be writing some tutorials to show off a lot of the features that might hide in plain sight. You can reach me by commenting here or by opening an Issue in the Github Repo.

Visit product View on Hacker NewsFeb 18, 2025

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64%64% 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: visual, open, plain · Missing: mac, agents, macos

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

25%25% predicted probability of success on TrustMRR, 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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