Upstash

Upstash AI

Upstash AI

Upstash AI

Upstash AI

Upstash AI

Upstash AI

Upstash AI

Upstash AI

Upstash AI

Upstash AI

Built a 22-endpoint API delivering enriched UK Gov Data — with x402 for agentic buyers

Homescreen - Try all endpoints for free I wanted share a recent project I wanted to build a project around free-to-use data, that when brought together, enriched and made easy to use, would be valuable to people. I used Claude Code to build it. ukdatapi.com is just that. UK gov data is spread across 400+ sources from Companies House, Land Registry, Environment Agency, Police.uk, ONS, etc. none of which speak to each other. Each has its own API format, auth, rate limits, quirks, and I couldn't find anything that aggregated them well. Any commercial options I found were expensive and opaque in what they offered. All this data is free under Open Government Licence but painful to wire together. So together with Claude, I ended up with ukdatapi.com that presently consists of: 22 API endpoints, each bundles 3-10 upstream gov sources into one call 46 data adapters total Every endpoint adds a proprietary 0-100 score (distress, environmental risk, vehicle health, etc.) with transparent breakdowns 8 free tools on the site (Company Check, MOT Check, Find My MP, etc.), no signup needed Free tier: 200 credits/month, no card required The MCP server on the official registry, works with Claude Desktop / Cursor And x402 integration where AI agents can pay per-call in USDC, no signup at all Claude was incredibly helpful from a deep research perspective to start, helping me aggregate all the available APIs and sort them into cohesive endpoints, particularly identifying what was usable vs deprecated. Aside from helping code the project, the part I was most impressed with was the security checking around the x402 blockchain integration, catching several initial issues that would have allowed someone to query the MCP server bypassing the x402 payment altogether. x402 is obviously an incredibly early payment protocol, so this is a small bet to see whether agentic calling catches on, finding enriched API endpoints more valuable than disparate ones. Finally, Claude was incredibly helpful sourcing the various MCP directories I could list it on, helping it get listed on the official MCP Registry at registry.modelcontextprotocol.io. It is just crazy to me how with an idea, and a bit of trial and error, Claude can now take you from a blank piece of paper to a working product. The learning curve along the way is profound. You can try the free tools without signing up, or grab a free API key for 200 credits/month no card required. Tech stack: Next.js 16, Vercel, Supabase, Upstash Redis, Stripe + x402 All data under Open Government Licence v3.0 Would love to know if anyone is building similar things, in this space. Thanks for taking the time to read. submitted by /u/marzbar_14 [link] [comments]

Two months of coding with Claude code

My background started in sales, moved to product/tech about ten years ago culminating in my role as chief product officer at a large debt relief company. Today, around 7:30 am, after my fourth all nighter in a row I released a product (in stealth no heavy marketing yet) after two months of deep work with over 1,000 commits and a lot of sleepless nights. I used VS code, with ClaudeCode. Mostly opus high effort. Lots of CLI, no MCP - huge win - read about so many issues with MCP and it was never a thing. Built on/with railway, supabase, voyage AI, pinecone, resend, grafana, multi-AI provider with custom fallback (almost used liteLLM, and chose custom days before their incident), cloudflare for dns/R2/zerotrust, sentry (incredible tool - major part of how I shipped as much as I did as quickly as I did), redis upstash, bullMQ, Unsplash, stripe, huskyCI, Semgrep, and probably a few more I am missing. - Is it going to sell? I don’t know. - Is it technically capable and unique? I think so - Am I super proud of myself? Hell yes. - Are there bugs? You tell me, typically squash then in staging environment with help of sentry, but something may have gotten past me certainly! - What does it do? Convert web visitors to leads with custom agents, in under 5 minutes. Roast me, or give me some feedback! www.wengrow.app Moment that stand out: - The velocity in general - Shipping enterprise level SSO (supabase auth) in a few hours - Rapid CRO optimization of onboarding flow. having done this work before leading large engineering and product teams the work I did in 24 hours would have taken a cross functional team of 5 weeks at a minimum. - Cookie consent management. Having previously spent months at prior job trying to do CCM right with a paid tool, I was able to set up a compliant CCM process on www in hours with c15t including audit logs sent to my Supabase DB, and proper handing of California nuances. - so much more but I need to catch up on some sleep submitted by /u/berrism [link] [comments]

Building a personal training coach app — looking for stack advice and alternatives

I'm a freelance developer and I just got a new project: a personal training coach app. The idea is a Flutter mobile app for clients (iOS + Android) and a private Next.js web dashboard for the coach to manage everything. Looking to see if anyone has built something similar or has thoughts on the stack I'm planning. --- Quick background on my previous work** I've shipped a full ecommerce platform for a supplement store (Flutter app + Next.js site + employee dashboard + owner dashboard, all sharing one NestJS backend), and a dental clinic app (Flutter + NestJS + Supabase). Both are in final review with the clients right now. This coach app would follow a similar architecture. --- What the app needs to do Coach side (web dashboard): build workout programs organized by muscle group, assign them per client, manage a custom exercise library where each exercise has a recorded video demo attached, track client progress (weight, measurements, progress photos), review weekly client check-ins, send meal plans, 1-on-1 messaging with clients, and manual payment tracking. Client side (Flutter app): guided workout sessions set by set with rest timer and video demos, workout logging, weight and measurement tracking with charts, progress photo uploads, meal plan viewer, weekly check-in forms, in-app messaging with the coach, push notifications. A few features I'm particularly happy with: -Equipment-aware program builder— when building a program for a client, the dashboard warns the coach if he tries to assign an exercise that uses equipment the client's gym doesn't have. Clients fill a gym equipment checklist on signup. - Training split assignment — coach sets the split (PPL / Upper-Lower / Bro Split / Full Body), the calendar auto-structures itself around it. - Full intake form on signup — before the coach even accepts a client, they fill stats, goals, experience, available days, preferred split, gym equipment, injuries, and progress photos. --- Stack I'm planning - Mobile: Flutter + Riverpod, Feature-First architecture - Backend: NestJS + PostgreSQL via Supabase, Prisma ORM - Dashboard: Next.js 14 App Router + TailwindCSS - Auth: Supabase Auth — TOTP 2FA for the coach, OTP for clients - Chat: Stream Chat (1-on-1 real-time messaging) - Push:OneSignal - Storage:Supabase Storage — private buckets for progress photos - Videos: Coach records each exercise demo himself, uploads as unlisted YouTube videos, pastes the link into the dashboard. Plays inline in the app. No video hosting cost. - Cache:Upstash Redis - Hosting: Railway For the videos specifically — I went with unlisted YouTube instead of direct upload because hosting video is expensive and YouTube handles delivery well. Coach records his own demos so everything feels personal, not generic. Open to other approaches here. **How I'm building it:** Claude Sonnet 4.6 via Claude.ai for architecture decisions and structured agent prompts (using Claude's built-in skills for systematic debugging and security auditing), then pasting into Antigravity as my IDE instead of Claude Code. --- What I'm actually asking - Has anyone built a similar coaching/training app? What did you use and what would you do differently? - Any better alternatives to Stream Chat for 1-on-1 coaching messaging at this scale? - For the video demos — is unlisted YouTube the right call or is there a better approach? - Any obvious gaps in the feature set for a personal training app like this? Appreciate any input. submitted by /u/Cowboy_The_Devil [link] [comments]

Couldn't find a good exercise API, so my workout app's data layer became its own thing

Building a workout tracking app on the side (Tally), I kept hitting the same wall: where do you actually get decent exercise data? The options are rough. free-exercise-db has ~800 exercises but the schema is thin and it's gym-only. ExerciseDB on RapidAPI has GIFs and not much else. API Ninjas gives you numbers but no search keywords, no form cues, no safety notes. So I built my own library. Took about four months of evenings, and most of that wasn't code. It was cleaning data, writing form cues, and arguing with myself about how to model "a yoga pose has no rep range." At some point the library got more interesting than the app it was sitting inside, so I pulled it out: exerciseapi.dev It's 2,198 exercises across 12 categories. Not just barbell stuff. Yoga, PT, mobility, pilates, calisthenics, plyometrics. Each one has search keywords, form cues, safety notes, anatomical muscle mapping, and a few variations. The thing I most want a reality check on is the onboarding. It's one copy-paste prompt. You drop it into Claude Code or Lovable or v0, it pulls the docs via an llms.txt file, figures out your framework, and wires up search, a detail view, and a card component on its own. No reading docs for an hour first. I can't tell yet if "API designed for AI coding tools" is a real wedge or just a cute framing of normal good docs. If you have an instinct either way I'd love to hear it. Used Claude Code extensively and Claude.ai for brainstorming/prototyping. Tech stack for the curious: Workers + Hono on the API, Postgres with tsvector + pg_trgm for search (so "benchpress" still finds "Bench Press"), Next.js on Vercel for the dashboard, Supabase, Upstash for rate limiting. Free tier is 100 req per day. Paid starts at $5/mo. Supabase + Upstash + the domain aren't free and I'd rather charge five bucks than stick ads on a docs site. Three paying users so far, all friends, who keep finding things I missed :) submitted by /u/dawnpawtrol1 [link] [comments]

PSA: We found a vulnerability in context7 (7,700 stars) that lets AI agents read your private keys. Fix is merged.

A path traversal vulnerability in upstash/context7 allowed any connected AI agent to read arbitrary files from your machine -- including ~/.ssh/id_rsa, .env files, and database credentials. The attack: a malicious prompt tricks the agent into calling a file operation with a path like ../../.ssh/id_rsa. No path validation existed. The server reads the file and returns it into the conversation. We found it with our open-source scanner (spidershield), reported it, and the fix was merged in 6 days: https://github.com/upstash/context7/pull/2235 This isn't an isolated case. We've scanned 15,674 MCP servers and found similar patterns in many of them. Path traversal is the most reliably detected issue (76% true positive rate from 10,970 verified findings). 6 fix PRs merged so far across context7, cognee, mcp-gateway-registry, and others. Full writeup: https://spiderrating.com/blog/agent-escape-mcp-servers-leak-your-secrets Scanner (MIT): https://github.com/teehooai/spidershield submitted by /u/No-Investment-1140 [link] [comments]

Claude Code + Assistant UI + ShadCN + Context7 = 🔥🔥🔥

Github: https://github.com/Emericen/openmnk Claude built me this desktop agent and there're a few things i used that i find really really useful. First one is Assistant-UI, a chatbot UI library. they have all the harness you might think of s.a. tool call and action bar etc, and basically allow you to fill in your customized message components and how you want them to look like. For this project I added ShadCN components in its harness. I also like to use Context7 MCP to look up docs for these libraries. or if i want to go further, just ask claude to clone the library and explore it and ask questions until y'all on same page. I rarely read docs myself these days. One thing I noticed, for project of this level, there still needs to be a lot of human intervention and 1-2 claude session is all i can practically manage today. I don't quite understand how folks would have a dozen terminals at the same time since I'd still need to understand the code. That said, I've cancelled my cursor subscription and opt'ed in for max plan now. submitted by /u/No-Compote-6794 [link] [comments]

I built a "rigor dial" for Claude Code - from "just do it bro" (0) to full devil's advocate (10)

I kept running into the same problem: for a quick typo fix, I don't need Claude questioning my life choices. But for architecture decisions, I actually WANT it to push back hard. So I made a simple slash command skill: /rigor Level Name What Claude does 0 Bro Zero questions. Just does it. 1-2 Chill Only warns if prod will literally break 3-4 Gentle Soft suggestions, mentions tradeoffs 5 Balanced Default behavior 6-7 Critical Challenges architecture, demands justification 8-9 Paranoid Edge cases, scalability, "what's the rollback plan?" 10 Dushnila "Why are we building this at all? Show me the data." In my native language we have a perfect word for level 10 - "dushnila" (душнила) - someone who suffocates you with questions and won't let anything slide. Every dev team has one. Now your AI can be one too. Same prompt, different levels: Me: "Let's add Redis to cache AI chat responses" Level 0: "Adding Redis client and caching. Done." Level 5: "Before I start — what TTL for cache? AI responses are contextual, same prompt can need different answers. Also Redis is new infra — Upstash or self-hosted?" Level 10: "Stop. What metric are we improving? Show me the data. Cache hit rate will be near-zero — chat is contextual by definition. Redis adds $30/mo and a new failure point nobody will monitor at 3am. Anthropic prompt caching already exists and costs nothing. Have users even complained about speed? Check PostHog before writing a single line of code." How I actually use it: - /rigor 0 — typo fixes, config changes, "just do the thing" - /rigor 5 — regular feature work - /rigor 8 — new services, anything touching auth or payments - /rigor 10 — "should we even build this?" — when I need the harshest critic in the room before committing to a direction It's just a markdown file — takes 30 seconds to install. I built it with Claude Code in ~15 minutes and honestly it changed how I work more than I expected. Turns out the right amount of AI pushback depends entirely on the stakes. GitHub: https://github.com/spyrae/rigor-dushno Also comes with /dushno — same thing in Russian, for the bilingual devs out there. submitted by /u/sand-pyramid [link] [comments]

I like to talk to claude in starwars memes

submitted by /u/pablostanley [link] [comments]