Social & Community3 weeks ago
fl1p — the operator network · fl1p
Connect with founders and investors to discover deal flow, hire talent, and grow your network.
@Alex_XIVI · X
niche social network for startup founders, welcome 👀
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60 projects
Connect with founders and investors to discover deal flow, hire talent, and grow your network.
@Alex_XIVI · X
niche social network for startup founders, welcome 👀
Animated thinking orbs for AI and agent interfaces with six hand-tuned states and automatic dark/light theming.
@MengTo · X
These will instantly make your vibe-coded projects look less generic. Free, open-source libraries from the same creator: • • •
Use one API to access and switch between LLM providers while optimizing inference costs.
justin2025 · Product Hunt
Auriko Trading desk for LLM calls
Deploy any of 400+ open-source tools on your choice of 9 cloud providers.
@Dil_Lynn · X
See your Microsoft 365 features, configurations, and adoption metrics with instant health scoring.
@M365Clarity · X
Video-first talent platform connecting career professionals and employers for job opportunities.
@CarlosDJones1 · X
Write code and visualize its runtime execution as an interactive graph.
@neon_time · X
Local-first cognitive runtime with live AST graphs, runs in your browser with no data sharing.
@fortsignal1 · X
Paste an ad to get an AI roast with a Butter Score, then rewrite it for better conversions.
@HowardYHuang · X
Place 3D objects and lights, design cinematic camera paths, and record takes in your browser.
@tahabahrami · X
Solve the camera movement in AI videos. We created a Blender web version with cinematic camera control.
Automated testing platform with browser tests, API testing, and accessibility scanning for SaaS.
@EveryDayFSDev · X
I’m building catch SaaS bugs before your users do: plain-English flows + AI browser automation that adapts to changes and wires straight into CI/CD.
Turn natural language descriptions into production-ready backend APIs and services.
u/yousefemz · Reddit
18 months ago we weren't sure it was possible. Today we launched it. We kept asking ourselves one question for a year and a half: can an AI actually design a scalable backend from a description of how it should behave, not demo-ware, something that holds up in production? We didn't know. Some weeks it felt like the answer was no, or that we'd end up with code that looks right and falls apart the second real traffic hits it. We just launched it. You describe how your backend should behave,