@adriendecoster_ · X

@clickswave · X

vibe coded slop

@web3bids · X

@themanagelab · X

✅ Automated review cycles with smart notifications ✅ Two-way feedback & discussion threads ✅ Talent readiness matrix ✅ Goals, issue tracking & clear development insights One platform. Better managers. Stronger teams. →

AI快站模型质量检测 — 面向 OpenAI Compatible 接口的网页检测工具，输入公开 HTTPS 地址和临时 API Key，可检查模型声明、Token、动态题、SSE 与工具调用并生成分项报告；密钥仅用于当次检测，不写入数据库、缓存或日志

@wings_davis · X

I launched my first SaaS - LogHive. Sales, stock, purchasing, accounting, customers, and business insight in one secure workspace. Customers check availability, price, and place orders on WhatsApp. Also includes a storefront to allow customers to order.

@fizix100 · X

Who should take the lead: ChatGPT or Claude?

@BinaryScriptar · X

Introducing OtterKit. Always-on webhook endpoints and instant tunnels, built for developers and their AI agents. It started with a problem I kept hitting: every time my coding agent needed to test a Stripe or GitHub webhook, it had to open a tunnel. What OtterKit does • Permanent webhook URLs that answer senders 24/7 with the status, body and headers you choose, verify signatures on arrival (Stripe, GitHub, Shopify, Slack and 12 more), store full history, and forward matching events to your app, signed and retried • Instant HTTPS tunnels to any local port in one command, stable subdomains, auto stop, basic auth • Replay any captured request, edit the payload, re sign it, fire it at your local handler • Pulses: scheduled HTTP calls and dead man's switches with email alerts • Payload drift detection: baseline the JSON shape per event type, get emailed when a provider changes it • Custom domains ( and an email inbox on the same endpoint • A

@rafaelaraujo_pt · X

CasePruve turns one happy client’s real answers into a full case study, tweet, thread and proof page. No invented numbers. No complicated process. Just one link → 4 short questions → ready-to-use proof. Free to try →

u/bob__io · Reddit

What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation

@foundergear · X