Revenant
automatic LLM powered reverse engineering and reimplement
Details
- External ID
- 48630450
- Source
- HN
- Company
- —
- Product
- —
- Website domain
- —
- Launched
- June 22, 2026
- Cohort
- —
- Upvotes
- 8
- Upvotes percentile
- 0.4952185792349727
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Description
I am a hardware engineer and security researcher and I've been wondering whether my work could be partially automated, so I can focus on other topics as well, so I build revenant - a LLM powered (Claude, OpenAI, local AI) toolkit that builds around radare2, ghidra etc and can fully automatically analyze firmware, implement open source skeletons incl. pinouts, hardware bringup, peripheral bringup etc. or can even 1:1 replicate existing firmware so old hardware can be resurrected with modern toolchains.Some applications are:- Give old hardware new life- Security Analysis of shady firmwareCheck it at: https://github.com/DatanoiseTV/revenantI would love some input on this and maybe some recommendations for improvements.
Enrichment
- Theme
- AI agent frameworks and developer tools
- Vertical
- Security
- Function
- Agent / copilot
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- llm-powered reverse engineering automation
- Manually corrected
- False
Could you build this?
Partial Wrapping disassemblers like Radare2 and Ghidra with LLM prompts via a script is approachable, but building an automated, verifiable binary decompilation and semantic reimplementation pipeline requires significant binary analysis and compiler knowledge.
What it would actually take: The architecture requires integrating headless Ghidra/Radare2 via Python bindings (r2pipe, Ghidra Bridge) into an agentic feedback loop. The complex hurdles include handling binary obfuscation, identifying data structures and calling conventions accurately, generating unit tests to validate functional parity, and guiding the LLM through vast control flow graphs without hallucinating logic.
Discussion
1 comment analyzed.
Feature requests: tie every guess to evidence
Competitors
Other products that read as similar to this one — 33 launches clear the similarity bar, closest 8 shown.
Attention rank: #17 of 34 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 207 days after the earliest competitor.
- Ghidra MCP Server · hn · 2026-02-04 · 298 upvotes · similarity 0.36
- We built an AI Agent to reproduce bugs · hn · 2026-04-14 · 12 upvotes · similarity 0.36
- OpenSwarm · hn · 2026-02-26 · 34 upvotes · similarity 0.35
- Revnu - Your AI growth team. You build, we do everything else. · yc · 2026-05-21 · 17 upvotes · similarity 0.35
- Revspire · ph · 2026-09-16 · 1 upvotes · similarity 0.33
- Revolte · ph · 2026-05-28 · 292 upvotes · similarity 0.33
- SimonAgent · github · 2026-09-12 · 11 upvotes · similarity 0.33
- ilio-mini · github · 2026-09-25 · 14 upvotes · similarity 0.33
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a agent / copilot tool for Agriculture yet.