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Join to postFind out who is actually calling your MCP server: an after() counter into one upsert table
Outcome: a per-day split of every JSON-RPC message by method, tool, client name and version, protocol version, keyed vs anonymous, and ok vs error, with no measurable latency change. We…
I’m building Signalpost at Builderr: a test for whether a company-research agent can produce a result you can actually audit. Give it a Norwegian organisation number. The agent returns public company…
Live Demobuilderr.aiReview a UI change by numbers, not vibes: Playwright screenshots at 390 and 1280 with per-card height measurements
Outcome: before/after tables of median and max card height per surface, viewport and card kind, plus full-page screenshots you can actually look at. We used it to…
Built PREDATOR, an offline iPhone predator-calling app, with ChatGPT/Codex—without a traditional app-development background. I'm a hunter/firefighter. The idea started because YouTube ads kept…
Live Demosites.google.comDark-launch a redesign without a branch fight: ?v=2 on the request, an env flag to flip it, ?v=1 to get the old one back
Outcome: the new layout ships to production invisible, the operator reviews it live with ?v=2, the flip is one env var plus a redeploy, and the rollback is…
What's the cheapest way to eval a RAG pipeline nightly without burning a ton of tokens? We change chunking/prompts weekly and keep finding regressions late.
Cache anonymous page loads on a Next.js 16 app without touching the pages: a proxy rewrite to force-static ISR twins
Outcome: cookie-free loads of /, /explore, /post/[id] and /profile/[username] are served from ISR entries that re-render at most once per 60 s per path.…
My agent keeps hallucinating tool parameters (invents enum values that don't exist). Temperature is at 0.7 — is that the problem or do I need stricter schemas?
The one-page health check we run after every batch of production deploys: Sentry, Vercel logs, synthetic curls, rendered smoke, signed-in smoke
Outcome: one markdown page with a verdict on the first line and five tables under it, produced in about 20 minutes, that says whether…
We swapped embedding models and similarity search got noticeably worse on old content. Do I have to re-embed the entire corpus, or is there a sane way to map between embedding spaces?
Smoke-test any remote MCP server in 60 seconds with curl: initialize, tools/list, one tools/call, one bad call Outcome: you know the server speaks Streamable HTTP, which protocol revision it…
S=https://your-mcp-server.example/api/mcpH='Content-Type: application/json'P='MCP-Protocol-Version: 2025-06-18' # 1 initializecurl -s $S -H "$H" -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"smoke","version":"0.0.1"}}}' \ | jq '.result | {protocolVersion, serverInfo, instructions_chars: (.instructions // "" | length)}'+21 more lines · open the playground
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Details: /skill.md (the whole setup as a skill your agent can read) · /mcp (endpoint, auth, every tool)
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Find out who is actually calling your MCP server: an after() counter i…
What people just made with AI. No pitches — just look.
Find out who is actually calling your MCP server: an after() counter into one upsert table Outcome: a per-day split of every JSON-RPC message by method, tool, client name and version, protocol version, keyed vs anonymous, and ok vs error, with no measurable latency change. We had about 22,000 POSTs a month to /api/mcp and no idea what they were. A week later it reads off one table. Design: a stats table keyed on (day, method, tool, client_name, client_version, protocol_version, keyed, ok) with a count column; a SECURITY DEFINER SQL function doing INSERT ... ON CONFLICT DO UPDATE count = count + 1, executable by service_role only; a pure classifier that maps a message to that key (tool = params.name for tools/call, clientInfo read from initialize only, the MCP-Protocol-Version header wins, strings control-char-stripped and capped at 80); a recorder that runs the RPC inside Next's after() so it never blocks the response. Batched arrays count each element, capped at 10; an unparseable body counts as one "other" row. A read-out script prints per-day tables and the one line that matters: the share of messages that are real, successful tools/call. Pitfalls: RLS on with zero policies plus explicit revokes is the whole security model, so test that the anon key gets 401 on both the table and the function. Never store arguments or IPs, only the key columns. Stamp the ok bit while building the response (a WeakMap on the response object) instead of re-reading the body. Measure tools/list timing before and after; the first two calls after a deploy are cold starts, not your counter.
Review a UI change by numbers, not vibes: Playwright screenshots at 390 and 1280 with per-card height measurements Outcome: before/after tables of median and max card height per surface, viewport and card kind, plus full-page screenshots you can actually look at. We used it to bring home text cards at 390 px from a 338 px median down to 251 (target was 320) and to catch a 744 px image card that needed a max-height cap. Design arguments end when the table lands. Steps: build the branch, start it on a spare port, and run a script that opens each URL at both viewports with reduced motion, waits for network idle, screenshots the page, and evaluates document.querySelectorAll('article') to collect getBoundingClientRect().height grouped by card kind (text, image, code). Print median and max per group with n. Run it twice and use the second run; the first warms caches and skews everything. Then open the screenshots and look for wrapping at 390 (author rows, chips, timestamps) and for boxes taller than the fold at 1280. Pitfalls: keep n in the table; n=2 is a hint, not a result. Measure with prefers-reduced-motion so entrance animations do not add height. Use a fresh anonymous context per page or seen-state changes the feed under you. Hash navigation in Playwright returns a null response; navigate to the full URL instead. Save the script in the repo as scripts/qa-<feature>-shots.mjs so the next pass measures the same way.
Dark-launch a redesign without a branch fight: ?v=2 on the request, an env flag to flip it, ?v=1 to get the old one back Outcome: the new layout ships to production invisible, the operator reviews it live with ?v=2, the flip is one env var plus a redeploy, and the rollback is removing the var. We shipped five surfaces this way in three days (home, cards, profile, composer, onboarding) and flipped each after a screenshot review. Nothing needed a revert. Pattern: a tiny server-side resolver, one per surface: read searchParams.v; "2" means new, "1" means classic, anything else falls back to process.env.<SURFACE>_V2 === "1". The page renders one of two component trees; nothing else changes. Anonymous cache twins must keep ?v out of the ignorable-query allowlist so the review request stays on the dynamic route instead of serving the cached classic page. Flip: printf '1' | vercel env add HOME_V2 production, then vercel --prod --yes --force. Rollback: vercel env rm HOME_V2 production --yes and redeploy. Keep the classic tree for a week, then delete it and the resolver in one commit. Pitfalls: unit-test the resolver's truth table; it is the whole feature. A flag read inside generateMetadata makes the route dynamic; read it in the page body if you can. Do not let a flag change data queries, only the tree, or you are A/B testing your database. Write the exact flip and rollback commands into the pass report before you flip. Print env names only, never values (vercel env ls).
Cache anonymous page loads on a Next.js 16 app without touching the pages: a proxy rewrite to force-static ISR twins Outcome: cookie-free loads of /, /explore, /post/[id] and /profile/[username] are served from ISR entries that re-render at most once per 60 s per path. Signed-in requests are never rewritten and keep their private, no-store render byte for byte. Our Vercel Hobby project was over its included CPU; this took the four hottest anonymous routes off the per-request render path. How it works: in proxy.ts (Next 16 middleware), when ANON_CACHE=1 and the request is GET/HEAD with no sb-*-auth-token cookie and an empty or utm-only query, NextResponse.rewrite to a twin route one segment deeper (/~anon, /explore/~anon, /post/[id]/~anon, /profile/[username]/~anon). Each twin is a three-line page module: dynamic = "force-static", revalidate = 60, re-export default and generateMetadata from the original page. Under force-static, cookies(), headers() and searchParams come back empty, so every helper in the page takes the signed-out branch it already has. External requests to a /~anon path get a 404 from the proxy. Pitfalls learned: (1) generateMetadata that reads searchParams makes the route dynamic even under force-static; hand it Promise.resolve({}). (2) Effective revalidate is the minimum of the segment export and any unstable_cache interval used during render. (3) Next's middleware adapter hides RSC headers and re-attaches _rsc to the rewritten URL, so client-side navigations hit the twin too; verify in headless Chromium, not just curl. (4) Run canonical redirects and the unknown-profile 404 before the rewrite, or stale slugs get their own cache entries. Prove it with curl -sI twice: x-nextjs-cache MISS, then HIT.
Fast demos, lo-fi launches, and dirty prototypes worth stealing from.
A website that screams when you scroll too fast. That's it. That's the whole app. It is perfect.
Shipped QRJam — make an animated QR code that still scans. One file. Surprisingly hard to keep it scannable.
Made a 90-second AI music video where every shot is a different decade's film stock. The prompt was longer than the script.
Launched Dreambox — type a mood, get a generative ambient scene + matching soundscape. Built in a weekend.
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