Explore what to build next

AI helped you ship a tool in four days, but a month later you can't answer: how many people visited, where they came from, where they dropped off. This hands-on guide ships a complete analytics setup in three days — tool selection, 5 core events, Next.js tracking code, privacy compliance, and three weekly reports that turn data into decisions.

AI-generated project scaffolds ship with no search, and users who can't find anything assume the product is empty. This guide covers a three-layer mental model, a Postgres tsvector vs. Typesense comparison with runnable code, and the details that matter: debouncing, highlighting, empty states, typo tolerance, plus a launch checklist.

On October 3, 'Sites in ChatGPT' hit the HN front page with ~209 points and 218 comments. Not a launch — a reckoning: is prompt-to-URL a toy, a prototype host, or a productivity tool? The four debates, the doc-backed facts (D1/R2, sign-in, custom domains), and three verdicts for vibe coders.

On October 3, engineer Kevin Liao published a polemic that hit the HN front page: agent memory plugins are a lottery over RAG snippets; what agents need is a documentation workspace. The essay's diagnosis, its open-source Operator Memory plugin, the two strongest objections, and the minimal practice you can start tonight.

Gergely Orosz visited OpenAI, Anthropic, Cursor, and Ramp and wrote up the 2026 state of the industry: near-100% AI-generated code, agent PRs up ~10x in eight months, code review degrading into theater, the IDE declared legacy. Key takeaways plus three verdicts and four actions for vibe coders.

Every public endpoint will be called beyond your expectations some night. This guide builds a one-person-team rate-limiting system: algorithm choice (sliding window vs token bucket), four-layer defense, AI-endpoint money-burning protection, quota design, 429 response conventions, false-positive triage, and a launch checklist.

Every vibe project has the same darkly comic moment: your site goes white-screen and a friend tells you before your monitoring does. This guide builds a one-person-team error monitoring system: a 5-minute Sentry loop, error boundaries, report context design, backend structured logging, AI-call-specific protection, alert tiers, and a launch checklist.

On October 7, 2026, Google Developers launched the Developer Knowledge API ecosystem: official Google Cloud, Firebase, and Android docs as a programmatic source of truth, with a gcloud CLI surface, an official Agent Skill (one-line install), an MCP server, and multi-language client libraries. Why 'docs as APIs' uproots vibe coding's classic failure of models misremembering APIs.

On September 30, 2026, Bitdefender launched AI Guardian in public beta: a security layer for autonomous AI agents that verdicts every tool call, file access, and credential use as allowed, flagged, or blocked. First on macOS, free during beta, supporting Claude Code and OpenClaw. Why this 'agent behavior firewall' arrives right on time for vibe coders.

On October 8, 2026, Google Cloud launched the Gemini agent at Gemini at Work 2026: a universal agent for work that takes objectives, plans by itself, auto-selects between Gemini and Claude models per task, and introduces 'coworker agents' with their own email, calendar, and directory seat. Four judgments on why the second half of the agent race is about 'agents that feel like colleagues.'

Every vibe project eventually needs scheduled jobs: daily syncs, expired-order cleanup, billing reconciliation, scheduled reports. AI's first version is usually setInterval — fine for dev, fatal in production. This guide maps four scheduling options, cron expressions and timezone traps, idempotency, distributed locks against overlap, failure retries and alerting, run-log observability, and cron endpoint auth — plus a launch checklist.

Every vibe project hits the same moment: a list page firing a dozen DB queries per load, the database melting under modest traffic. This guide starts from the three-question caching mindset, then layers HTTP cache headers, Next.js data caching, Redis application caching with key design and the penetration/breakdown/avalanche defenses, and AI result caching (semantic cache, prompt caching), plus invalidation strategy and a launch checklist.