Pre-alpha tool for analyzing spdx SBOMs generated by GitHub

Hacker News

I've become interested in SBOM recently, and found there were great tools like https://dependencytrack.org/ for CycloneDX SBOMs, but all I have is SPDX SBOMs generated by GitHub. I decided to have a go at writing my own dependency track esque tool aiming to integrate with the APIs GitHub provides. It's pretty limited in functionality so far, but can give a high level summary of the types of licenses your repository dependencies use, and let you drill down into potentially problematic ones. Written in NextJS + mui + sqlite, and using another project of mine to generate most of the API boilerplate/glue ( https://github.com/mnahkies/openapi-code-generator )

Visit product View on Hacker NewsApr 21, 2024

Share card

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

63%63% 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: using, code, apis · 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 · Missing: plus, platform, intuitive

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

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

36%36% 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

11%11% 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

Prototyping Tool Alpha43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Prototyping Tool Alpha

Hacker News2

Snap4Arduino, pre-alpha release34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Snap4Arduino, pre-alpha release

Hacker News1

Hazelian-1 AGI Kernel v2020.00001 pre-alpha 139%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hazelian-1 AGI Kernel v2020.00001 pre-alpha 1

Hacker News2

Schesign alpha44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Schesign alpha

Hacker News14

Sshwifty WebSSH (Alpha)44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sshwifty WebSSH (Alpha)

Hacker News3

Bootstrap 5 Alpha Tutorial45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bootstrap 5 Alpha Tutorial

Hacker News11

Taskord alpha is out now44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Taskord alpha is out now

Hacker News3

Fastify/Vue 1.0 Alpha45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fastify/Vue 1.0 Alpha

Hacker News2

Simulating the vacuum as a superfluid to derive Alpha = 1/13744%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Simulating the vacuum as a superfluid to derive Alpha = 1/137

Hacker News5

I made a tool that monetizes GitHub repositories60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a tool that monetizes GitHub repositories

Hacker News3

Browse all products Analyze your launch