... computer. That's a lot of access. People are right to be cautious before installing something like this. The strongest signal I get from people on the fence is the same every time: "is this safe? what is the binary actually doing?" Open sourcing the code answers that question forever. No more screenshots of code reviews. No more "trust me." Just the source. The other side of the argument is real too. We have 10 paying customers and a product ... ... that works. The cloud (API keys, billing, usage tracking) is what we sell. The binary

... before this was GrepAI . They all do useful things. But I kept wanting one tool that covered the full picture without needing API keys, a Python runtime, or a cloud service. So I built Sense . Four capabilities in one binary: Graph. Who calls this function? What does it call? Where are its tests? Similar to codebase-memory-mcp or Gortex, but with embedded semantic search. Search. Find code by meaning, not strings. "Payment error handling" finds the right files even ... ... structural rather than statistical. Conventions. What patterns does this project follow? Only Drift really does this. It's the least common capability in the space and honestly the one I find most useful day to day. Single Go binary

... NFLTR.XYZ creates secure tunnels from your local services to public HTTPS URLs no DNS, no Nginx, no firewall rules. Built for developers, homelabbers, SaaS teams shipping on-premise, and enterprise fleets. gRPC-based, AES-256 encrypted, single binary. Here's what it actually does and why I think it's worth your time. The core: a gRPC tunnel dials outbound from your machine, so it works behind NAT, CGNAT, and corporate firewalls without opening a single inbound port. TLS terminates ... ... edge. One binary

... added OAuth at #73 . It made the binary fat. So we ripped out the dependency and rewrote the MCP client in 300 lines (ref #99 ). OAuth will become an optional component if you need it, it's there. If you don't, you don't carry it. Nobody's competing on binary

... v1.4.1 is out. Here's what shipped and what broke along the way. The headline feature: Vois CLI and AI agent automation This one is for the developers and automation folks. Vois now ships a CLI binary inside the app installer. AI agents (Claude Code, Claude Desktop, ChatGPT Desktop, Codex, Cursor, Gemini) can drive it directly. We host skill files at vois.so/skills that teach agents the full command set: create projects, write scripts, assign voices, generate audio, export with ... ... humbling. We bundle an audio processing tool as part of the export pipeline. On macOS it worked perfectly. On Windows, every export failed. Turns out: our build system was packaging a 63KB shell script instead of the actual 12MB binary

... with no structure? those are the ones i don't trust Comment from nim(@sup_nim): honestly i think the trust issue comes down to scope. i trust ai way more when its doing one specific thing really well vs trying to be a general assistant that touches evrything. like i built speakeasy which uses ai to convert articles to audio - its just doing text to speech, nothing else. and astrologica generates daily horoscope podcasts from your birth chart ... ... weeks and honestly I m really happy with it, as long as it stays in copilot mode (I review everything before it ships). I ve leaned on it heavily for a new side project I m building ( BenchCanvas ): market + competitor

... been a developer for years, and every time I look at my /usr/local/bin, I get a little bit of anxiety. I ve got three versions of Python, a random node binary I probably curled in 2022, and GBs of cache bloat from package managers I don't even use anymore. My system felt out of alignment. I wanted a tool that worked like LazyVim interactive, fast, and powerful but for the entire OS. So I started SnapPoint . Today ... ... open-sourcing the vision. The repo is live with the roadmap, and I m currently building out the core Go engine. SnapPoint will: Hunt Ghosts: Identify binaries

... systems are skipping them. The Brutal Reality 73% of digital products fail AI visibility not because of bad content but because of structural incompatibility. ChatGPT, Perplexity, Google AI Overview... they're not "ranking" products. They're making binary decisions: include or exclude. And if your product has: Citation-unsafe schema markup Missing canonical entity structure Non-compliant title formatting Zero-Click incompatible content You're blocked. Period. What This Tool Actually Does AEO Optimizer scans your product and gives ... ... Pass/At Risk/Blocked verdict across 4 categories: 1.SEO (traditional search) 2.AEO (Answer Engine Optimization - ChatGPT, Perplexity) 3.GEO (Generative Engine Optimization - Google AI) 4.Zero -Click Authority (structural citability) 5. Capable of scanning your website, your competitors

... rent for your mobile app infrastructure. Hi Product Hunt. I m Gabriel, the founder behind NativX. Most "web-to-app" services are basic wrappers that lock you into a monthly subscription model ($50+/mo) just to keep a static binary alive. I built NativX INFINITY (v1.0.0) to provide a permanent alternative

... control over data flow. But it also brings: infrastructure overhead, maintenance complexity, increased responsibility for data handling. For some teams, this is justified. For others, it s disproportionate to the value they actually need. 4. GDPR compliance is not binary it s a spectrum Most products operate somewhere between: best effort compliance and we can t afford full legal and technical certainty . What matters in practice: not every tool fits every risk profile, analytics choices are strategic decisions, not just ... ... technical ones. Why alternative

... will generate more creative deals Someone without those words keeps making the same offer in different packages 3. How you evaluate trade-offs Rich vocabulary = you can hold multiple competing values simultaneously Limited vocabulary = you collapse complexity into binary thinking Pragmatism vs

... According to the 2025 @Stack Overflow Developer Survey (49,000+ participants), @VS Code and @Visual Studio remain the most used dev environments, despite the rise of subscription-based, AI-enabled code editors @Cursor  and  @Windsurf  among others. Both maintain their top spots relying on extensions as optional, paid AI services like @Github Copilot and @Kilo Code . Curious which IDE the Product Hunt community uses the most? Comment from Mike Kerzhner(@mikekerzhner): @jakecrump  very cool, didn ... ... know about the plugin! Comment from Mike Kerzhner(@mikekerzhner): @jakecrump  how do you ask questions of the code via AI? Copy/paste somewhere. Comment from Sanskar Yadav(@sanskarix): VS