AI tools for “data”

…direct route for a single app with no hub, while store-metadata-writer is the one to prefer when a hub holds the profile and both stores have to stay consistent. It does NOT upload (play-store-deliver does), and does…

…and validate App Store / Mac App Store listing metadata for an Xcode project — localized text (name, subtitle, description, keywords, promo text, release notes, URLs), review information, categories, and…

…a public company ahead of its next earnings call, using Bigdata.com data (estimates, tearsheet financials, news, filings, transcripts, events calendar). Produces an EPIC driver table, earnings quality screen with…

…move a public company over the next few quarters, using Bigdata.com data (events calendar, filings, news, tearsheet). Covers scheduled catalysts — earnings, investor days, index reviews, lock-up and patent expiries,…

…happened at a public company and why it matters — using Bigdata.com data (news, filings, transcripts, tearsheet financials). Findings are categorized into financial results, product and tech launches, M&A and…

Produce a deep country economic analysis using Bigdata.com data — GDP, inflation, monetary policy, labor markets, debt mechanics, and investment implications. Goes beyond a point-in-time snapshot: structural and…

…sector inside a specific country or region using Bigdata.com data — combining the macroeconomic backdrop (GDP, inflation, rates, policy), country-specific sector trends and valuations, fundamentals of…

Compare two or more sectors using Bigdata.com data — relative valuations, earnings growth, analyst sentiment, and where each sits in the economic cycle — and turn that into a rotation call with overweight and…

…reported earnings — a cited post-print digest using Bigdata.com data (results, consensus and surprise, transcript, analyst reactions, tearsheet financials). Breaks down revenue and margins, segment and operating…

…the store text", "update the listing", "prepare the metadata" ("תכתוב את הטקסט לחנות", "עדכן את הליסטינג"), or when a profile changed and the stores have not caught up. **It needs a hub** (`$APP_HUB`) and a profile…

…post-IPO reaction note for a newly listed company using Bigdata.com data plus web market data. Anchors the deal (offer price vs range, shares, greenshoe, implied market cap), reconstructs day 1 (open, intraday range,…

…index inclusion for a recently listed large-cap, using Bigdata.com data plus web search for index methodology and market data. Covers two-week trading status, an eligibility check against Nasdaq's current published…

…post-IPO note on the 180-day lock-up expiry using Bigdata.com data plus filings and market data. Covers lock-up terms from the prospectus (expiry date, covered holders, share count, early-release provisions),…

…lock-up expiry and float expansion toward 15-20%, using Bigdata.com data plus filings and market data. Covers the staggered lock-up structure from the prospectus, float expansion math and days-to-trade, the offsetting…

Zero-config Postgres for Netlify apps via @netlify/database — querying data from Functions/Edge Functions, writing schema migrations, setting up Drizzle ORM, local dev with netlify dev, database branches for deploy…

…is worth and whether it is cheap or expensive, using Bigdata.com data (tearsheet multiples, estimates, margins, peer context). Produces a multiples cross-check against the company's own history and peer median, an…

Research a macro investment theme using Bigdata.com data — scope and sub-themes, investment implications, sector impact, named beneficiaries and vulnerable losers with tearsheet fundamentals, the policy and regulatory…

Analyze a market sector using Bigdata.com data — performance, valuations, themes, sub-industries, and upcoming catalysts. Maps the sector to its own operating and valuation KPIs rather than generic P/E, reads cycle and…

Compare regions or blocs using Bigdata.com data — economic indicators, market performance, and cross-asset views — and turn that into an allocation recommendation. Covers growth, inflation, policy and labor per region,…

…bull, base, and bear cases for a public company using Bigdata.com data — with explicit line-item assumptions, justified probability weights summing to 100%, a value or price per scenario with the bridge shown, a…