[verdict][curated prompt][source: stocksbrew.online]
Can I vibecode StocksBrew?
// buildable in a weekend, but real gaps stay open
A personal stock-research cockpit is very buildable, but StocksBrew's useful current calls depend on continuously maintained market, filings, news, and alert pipelines. A DIY version can make its evidence and rules explicit; it will not inherit the service's coverage, refresh reliability, or editorial judgment.
confidence: high
what it is: Current US-stock calls, targets, watchlists, and price or earnings alerts
Buildability index · an editorial game
- Price 9 $/month weight: plus 1
- Time multi-day weight: plus 1
- Category personal finance no weight
- Moat proprietary data · infrastructure scale · execution quality weight: minus 5
- Confidence high weight: plus 1
- What you lose 5 items weight: minus 2
- Site stocksbrew.online (si apre in una nuova scheda) no weight
The moat outweighs the price: rebuilding this is a project, not an evening.
Gioco editoriale: il verdetto dice se un agente può, l’indice se conviene.
What you build
Fetch end-of-day prices, SEC filings, and selected RSS news for a watchlist, score each stock with transparent rules, and notify the owner when a price or earnings condition changes.
what you need
- market-data API key
- SEC EDGAR data
- RSS news sources
- LLM API key
- scheduled job
A useful personal build is realistic when it states its data provenance and does not present automated output as investment advice.
The prompt
A weekend with a coding agent. The gaps that stay are right below, under “what you lose”.
Build me a personal US-stock research cockpit to replace StocksBrew. Requirements:
- Node 22 + Express + better-sqlite3 + node-cron, server-rendered pages on
localhost:8090, no frontend framework.
- watchlist.json holds my tickers; npm run refresh and a daily 7am cron pull
end-of-day prices from Alpha Vantage (key in .env), filings from SEC EDGAR
(no key needed), and items from a curated RSS list in sources.json.
- Score each stock with transparent rules in one rules.js file (price vs 50/200-day
average, new 10-K/10-Q/8-K filings, earnings-date proximity) and show an
add/hold/trim stance with the exact rule hits that produced it.
- Every summary line cites the filing or article URL and its timestamp; nothing
uncited, nothing invented.
- Alerts: per-ticker price threshold and earnings-date reminder, sent by email over
SMTP creds in .env.
- Rate-limit and cache all external calls (Alpha Vantage's free tier is 25
requests/day, plan the refresh around it), dedupe news items, and mark stale
data visibly.
- Dashboard: one watchlist table with price, stance, last-filing link, and next
earnings date; one detail page per ticker with score history.
- SQLite tables: tickers, price_snapshots, filings, news_items, scores, alerts.
One file I can back up by copying it.
- No accounts, no telemetry, everything local except the documented API calls.
- Out of scope: intraday data, brokerage connections, trading, and editorial stock
calls. Put a clear not-investment-advice notice in the README along with setup,
API limits, and the cron line. Curated prompt: written and reviewed by hand for this app. In English on purpose — it is the language coding agents work best in.
What you lose
- maintained stock coverage and editorial calls
- intraday data quality and provider reliability
- managed earnings and price alert delivery
- the product's target-price methodology
- AI-agent API access
Why people still pay
They pay for a maintained, current opinionated workflow: a stock call, the evidence behind it, a watchlist, and alerts that arrive without running or debugging a personal data pipeline.
moat: Proprietary data Infrastructure scale Execution quality what a moat is
The visible app is reproducible; dependable, current investment research is a continuing data and operations problem.
Who has already built it
Starting from here is still vibecoding: the prompt is for when you want it exactly your way.
- OpenBB Platform (opens in a new tab) — Open-source financial research platform with market-data integrations.
Do you agree?
The vote balance
Ancora nessun voto: il tuo è il primo.
Nessun voto ancora — il primo pesa.