Other2 weeks ago
AskLedger — Cut your AI spend, and prove the savings are real
Scan your AI bills to find waste and prove savings with tamper-evident evidence.
Open source
@askrashidkhan · X
The full gallery
Tech stack
60 projects
Scan your AI bills to find waste and prove savings with tamper-evident evidence.
@askrashidkhan · X
Upload and verify credentials with Hedera-backed tamper detection, paying per use.
@iizhem · X
👏 Shipping before vacation is elite. Good luck with your entry! Claude makes vibe coding way too fun. I joined the same bounty too and turned a simple credential checking idea into a full pay-per-use flow
Tests LLM endpoints with adversarial cases and provides OWASP-mapped security audit reports.
@aryaan_sheth · X
- LLM security for small teams
Securely manage secrets and environments across all your apps and teams.
@radimhfer · X
i'm founder of Stashbase, designed to help builders
Trace, replay, and verify AI agent decisions with signed audit trails for debugging.
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in
AI-powered security auditor that scans GitHub repos to find vulnerabilities and suggest fixes.
u/uwais_ish · Reddit
Three weeks to build an AI security scanner. The scanner was the easy part. Shipped RedFlag this month. Breakdown of where the time actually went, because it was nothing like I estimated. Stack: Next.js 16, Auth.js v5, MongoDB, Stripe, OpenAI. Deployed on Vercel. What I thought would be hard: getting an LLM to find real vulnerabilities. What was actually hard: getting it to stop finding fake ones. First working version flagged 200+ issues on a clean repo. Every one plausible, most of th
AI security scanner testing live websites to find vulnerabilities and generate fix prompts.
@wraithnet0x · X
Hey developers! I just launched my agentic security scanner. This is not your basic code review that could be replaced by claude code or anything like that. It tests the live application and hand you the fix so you can secure it in time. Website: Demo⬇️
Free website security scanner checking SSL, headers, and compliance for instant trust scores and AI-guided fixes.
@MrPenetratorTP · X
MrPenetrator helps businesses monitor their website’s trust, security and performance before problems affect their visitors.
Enforce policies and audit AI-assisted code changes at merge time.
@Scyloq · X
Currently building SentrAI. The merge-time control plane for AI-assisted software development. Enforce policy, audit every AI-generated change. Just finished an interactive demo and would love your honest feedback. Built with @Lovable
Scan crypto tokens for risk analysis using AI-powered detection from screenshots.
@aidyor33641 · X
is crypto platform. All in one place: *multichain token scanner *OCR-screenshoot to scan *crypto related news feeds *smart contract bug scanner-for devs to clean airdrops of their respective tokens before Cex/Dex contact info: [email protected]
Turn your company's calls, docs, tickets, and CRM into one searchable, AI-verified record.
@chaibytesai · X
Secure GitHub pull requests with hardware authentication and OTP verification.
jallmann · HN
> want without a PR process that requires hardware authentication or proof of presence Just curious, what do you use for this? I built OTP Guard [1] a few years ago for exactly this problem, although I haven't seen any alternatives in the space. Does GitHub have something built-in now? The original framing was more "local malware compromising your GitHub account" ... it never occurred to me that the malware could be a LLM. I really should update the page. [1] https://otpguard.com