Digma.ai – A full-blown APM running in the IntelliJ IDE

Hacker News

Hi HN, Nir, Roni, and the Digma team here! We are excited to be sharing with you today digma.ai, an IDE plugin for analyzing your code using observability. As developers, we were looking to build some practical ways to use runtime data from dev-test and prod, to actually improve code or spot issues during development. APMs seemed better at providing pretty dashboards, or useful information after the fact. >GitHub Repo: https://github.com/digma-ai/digma We built Digma as a standalone plugin that can be installed locally with no dependencies or code changes. Digma uses OpenTelemetry, a CNCF observability standard that has wide support and no vendor lock. The focus is on the code, how to improve it, and what we can learn about it based on the recorded traces and metrics. It is free for developers and available in the IntelliJ marketplace. We are super excited to bring Digma so you can experiment with it and see the kind of impact it makes on your coding. Would love to hear your feedback and opinion > GitHub Repo: https://github.com/digma-ai/digma > YouTube channel: https://www.youtube.com/channel/UCEIvE7BBynMll4tEUL5eKfA > Website: https://digma.ai Nir & Roni

Visit product View on Hacker NewsSep 26, 2023

Share card

Actual performance

4points

2comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: using, coding, code · Missing: mac, agents, macos

81%81% 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.

Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist

67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

31%31% 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

29%29% 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

14%14% 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

Similar products

49agents IDE35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

2D IDE for running agents across projects without fatigue

Indie Hackerscommitment-side-project

49agents IDE71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

2D IDE for running agents across projects without fatigue

Product Hunt+128Open Source

Kiro IDE19%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

更快写代码的 AI 助手型 IDE | Kiro IDE

Indie Hackers1ai

Running WebAssembly on ARM67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Running WebAssembly on ARM

Hacker News1

Oberon System Running on LuaJIT52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Oberon System Running on LuaJIT

Hacker News2

Hash functions from C++ running in WebAssembly67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hash functions from C++ running in WebAssembly

Hacker News7

Running for stuck to chair programmers44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Running for stuck to chair programmers

Hacker News5

KiDoom – Running DOOM on PCB Traces66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

KiDoom – Running DOOM on PCB Traces

Hacker News362

Luakernel – Lua + SQLite + musl libc running on x8689%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Luakernel – Lua + SQLite + musl libc running on x86

Hacker News115

Run16154%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Everything about running

Indie Hackers1$50/mohealth-fitness

Browse all products Analyze your launch