Can I vibecode CueScout?
KINDA · weekend projectThe visibility-check loop is the weekend-buildable half: generate buyer questions, run them through Perplexity and ChatGPT, detect brand and competitor mentions, normalize citations, and score a GEO number. That much is close to what a $49/mo plan actually ships, since Basic only covers one engine. What does not fit in a prompt is the continuous Reddit and Hacker News scan that mines buyer questions from real threads instead of guessing them, the writing-plan-to-draft loop that turns a score into dated work, and weeks of trend history without which one run tells you almost nothing.
Build me a local AI buyer-question visibility tracker for one product. Requirements: - Node 22, TypeScript, SQLite via better-sqlite3, a CLI, and a plain server-rendered dashboard. Local only, no accounts, no telemetry. - product.json holds my product name, aliases, domain, and up to 5 competitor names. - `track questions` generates 20 buyer-intent questions from the product name and a one-paragraph description, or accepts a JSON list I supply. - `track run` sends every question through Perplexity's API and OpenAI's Chat Completions API with web search enabled where supported. Keys live in .env. - Store one immutable row per run, question, and provider: raw answer, cited URLs, model id, and error text. Never overwrite a prior run. - Retry transient failures twice with backoff; keep failed cells visible in the report instead of dropping them. - Detect brand and competitor mentions case-insensitively against the alias list. - Normalize citation URLs to hostname plus canonical path, strip tracking parameters, then compute a top-sources table and an owned-domain citation rate. - Compute one GEO score per run: mention rate times citation rate, shown with the raw counts behind it, never just the number. - `track serve` renders visibility over time by provider, share of voice against each competitor, and the sources table. - `track export` writes questions, answers, mentions, and citations to CSV. - Fixture tests for mention detection, URL normalization, and the GEO score calculation. - Out of scope: Reddit/Hacker News monitoring, Google rank tracking, writing-plan or content generation, hosted sharing, teams, and billing. - README: setup, per-run API cost estimate, and a cron line for a daily run.
$ open in your agent (prompt prefilled, you press enter) or copy it raw
prompt copied. want to know what dies next week?
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They're paying for the parts that don't fit in a prompt: a script that runs every day for months without babysitting, buyer questions mined from real Reddit and Hacker News threads instead of guessed ones, a writing plan and AI-ready drafts wired to the same gaps the scores found, and a link they can hand a client. None of that is a moat a bigger company can't cross; it's the upkeep most people quit paying attention to by week three.
xthe continuous Reddit and Hacker News scan and buyer-question clustering, which finds where buyers are already asking instead of guessing questions to feed a model
xGoogle rank badges on matched threads, sourced from a paid search API
xthe writing-plan-to-draft loop that turns a gap into a dated 30-day plan and AI-ready page drafts, not just a dashboard number
xweeks of trend history and a competitor 'what moved' digest; a single run is mostly noise
xa hosted, shareable report link you can hand a client without exposing your own infra
Don't feel like building it? These folks already made it free.
no votes, no pay-to-list · just what's real
Can I vibecode CueScout?
Kinda. The core of CueScout is buildable in a weekend with the prompt on this page, but there are real gaps: the continuous Reddit and Hacker News scan and buyer-question clustering, which finds where buyers are already asking instead of guessing questions to feed a model, Google rank badges on matched threads, sourced from a paid search API. Read the honest list above before committing.
How much does CueScout cost?
CueScout costs about $49/month (Basic, checked 2026-08-08), which is $588 per year.
What do I lose by replacing CueScout?
Honestly: the continuous Reddit and Hacker News scan and buyer-question clustering, which finds where buyers are already asking instead of guessing questions to feed a model; Google rank badges on matched threads, sourced from a paid search API; the writing-plan-to-draft loop that turns a gap into a dated 30-day plan and AI-ready page drafts, not just a dashboard number; weeks of trend history and a competitor 'what moved' digest; a single run is mostly noise; a hosted, shareable report link you can hand a client without exposing your own infra. If any of those are load-bearing for you, keep paying.
Is there an open-source alternative to CueScout?
Yes: Elmo (Covers the visibility-check half well; it has no Reddit/HN buyer-thread mining and no writing-plan or draft generation on top of the scores.) The prompt is for when you want it exactly your way.