Project ideas from Hacker News discussions.

Small models also found the vulnerabilities that Mythos found

Original Article

Hacker News Discussion

📝 Discussion Summary (Click to expand)

4 Dominant Themes in the Hacker News Thread

Theme	Essence	Representative Quote
1. The “moat” is the system, not the model size	The real advantage comes from the scaffolding, iterative prompting, and targeting – not simply a larger frontier model.	> “That’s why their point is what the subheadline says, that the moat is the system, not the model.” – joulesbb
2. Skepticism toward the claimed breakthrough	Many commenters argue the results are overstated, rely on hand‑picked code and hints, and are used for hype rather than proven capability.	> “Unless the context they added to get the small model to find it was generated fully by their own scaffold … either they’re admitting theirs isn’t well designed, or they’re outright lying.” – LordDragonfang
3. Cost and practical limits	$20 k is cheap compared to human researchers, but the budget is still a constraint and won’t scale without a compelling ROI.	> “And $20k is a lot less valuable, and it won’t justify development costs or Anthropic’s growth multiple.” – johnfn
4. Verification and false‑positive risk	Finding a bug is only useful if it can be validated; otherwise the pipeline just creates a lot of noise.	> “The question is if smaller models can verify and test the vulnerabilities too, and can it be done cheaper than these Mythos experiments.” – tehryanx

🚀 Project Ideas

SecureScan Orchestrator

Summary

A hosted SaaS platform that lets developers upload a code repository and receive a prioritized list of possible security issues with ready‑to‑run proof‑of‑concept exploits.
Handles all prompt engineering, parallel scanning, and verification automatically, allowing teams to benefit from advanced scanning without writing any pipeline code.

Details

Key	Value
Target Audience	DevOps teams, security engineers, product managers at SaaS companies
Core Feature	One‑click repository scan, AI‑generated custom prompts per file, built‑in exploit sandbox, risk scoring and ticket export
Tech Stack	Node.js backend, Docker, FastAPI, ElasticSearch, Claude/GPT‑3.5 API, Redis queue
Difficulty	Low
Monetization	Revenue-ready: $19/mo per private repo, $9/mo per public repo

Notes

Directly answers HN users’ call for “easy‑to‑use harnesses” and eliminates the need to craft context‑rich prompts manually.
Sparks conversation about the balance between accessibility and vendor lock‑in.

Contextless Vulnerability Miner

Summary

A lightweight CLI tool that extracts function‑level snippets from any codebase, applies minimalist template prompts to small LLMs, and aggregates candidate vulnerabilities for downstream review.
Makes it possible to scan massive repositories on modest hardware by avoiding large context windows altogether.

Details

Key	Value
Target Audience	Individual security researchers, academic thesis projects, CI pipeline integrations
Core Feature	Automatic function isolation, reusable prompt templates for wraparound, integer‑overflow, memory‑leak patterns, batch execution, clustering of near‑duplicate findings
Tech Stack	Rust, Rayon, HuggingFace Transformers, SQLite, ASan wrapper
Difficulty	Low‑Medium
Monetization	Hobby

Notes

Addresses the core pain point highlighted in the thread: “context size is no longer magic” – this tool forces context to fit by design.
Likely to generate strong community discussion around optimal prompting strategies for small models.

VulnHarness Marketplace

Summary

A web registry where users can publish, discover, and rate community‑built security‑testing harnesses that package prompts, sandboxing scripts, and verification steps for specific vulnerability classes.
Facilitates reuse of proven scaffold designs, reducing the effort needed to experiment with new LLMs or vulnerability patterns.

Details

Key	Value
Target Audience	Open‑source contributors, security hobbyists, tooling startups
Core Feature	Versioned harness catalog, star‑rating and usage stats, easy integration with GitHub Actions, monetization via marketplace fees
Tech Stack	Django, PostgreSQL, GitHub API, Docker, LDAP auth
Difficulty	Low
Monetization	Revenue-ready: $5/mo per active harness, 15 % revenue share on premium upgrades

Notes

Directly satisfies HN’s repeated emphasis on the importance of “the system” over the model itself – providing a marketplace for that system.
Will generate discussion about open‑source business models and the sustainability of shared security tooling.