Other1 day ago
WillItInbox - Email deliverability tester, X-rayed
WillItInbox email deliverability tester: send a real message, get 70+ checks, validate recipients with 12 layers, and monitor domains and DMARC.
@Willitinbox · X
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WillItInbox email deliverability tester: send a real message, get 70+ checks, validate recipients with 12 layers, and monitor domains and DMARC.
@Willitinbox · X
Paste a URL to audit an MCP server and get a conformance score with fix recommendations.
Audit AI-built applications for security vulnerabilities and receive proof of findings.
u/mrtrly · Reddit
I asked ChatGPT 20 different ways who could fix a half-built app. It never named my company once. I do codebase rescue for founders in exactly that spot, so that one stung. There are already plenty of tools that measure this kind of AI visibility, a CDN even ships one free, so I built mine mostly to see my own number, and it confirmed the bad news: near zero. The measuring turned out to be the easy part. What none of the tools do, and what I actually care about, is the fix: getting the mode
Create temporary email inboxes via REST API or MCP to catch verification emails and extract codes.
@anhphong_dev · X
All-in-one workspace for project management, documentation, and test management.
@klorityx · X
One workspace for project management, documentation, test management & CRM. Enterprise features without enterprise pricing.
Verify AI responses in real-time by auditing with multiple models for reliability.
u/inc_23 · Reddit
Hey, I created a tool that catches when your LLM is confidently wrong, in production, in real time — looking for beta testers. Your bot sounds sure of itself even when it's wrong, and you usually only find out when a customer complains. Auscope audits every LLM response in the background: 3 models from 3 different providers independently check it, a 4th "chairman" model resolves disagreements, and you get one verdict — verified, uncertain, or unreliable. Runs async, doesn't slow your respon
Practice mock coding and system design interviews with an AI interviewer.
u/redskinnypete · Reddit
I made an AI interviewer for coding and Design interviews I built an AI-powered mock interviewer that simulates a real system design interview. It listens to your approach, asks follow-up questions based on your design, challenges your decisions, and provides detailed feedback on what you did well and where you can improve. I have tried to make it feel like a real interview as much as I could to simulate the pressure and the expectations in an interview. Please give it a try. Hope you wil
Access free earnings call transcripts or integrate via REST API and MCP server.
@RobGuerra90 · X
Building : access earnings call transcripts via a cheap API or MCP server. Pull any company's call right into your workflow.
Connect your Stripe account to receive weekly emails highlighting revenue leaks from failed payments and churn risks.
@whismone · X
Scores AI-generated ad creative and returns verdicts (run/fix/kill) via MCP and REST API.
ds246 · HN
Spendict – a performance marketer's verdict for AI agents, over MCP
Automated security audits for GitHub repositories to catch secrets, auth issues, and deployment problems.
@emanueldev4 · X
Building Preflight a simple way to catch issues before your website goes live.
Trace, replay, and verify AI agent decisions with signed audit trails.
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