Need Signals Filtered by Employee-Count Band
Market discoverers need to filter Naftiko Signals by firmographic bands (e.g., 100–2,000 employees) with AI-investment signal overlay, to prioritize accessible mid-market targets over hard-to-penetrate Fortune 1000s.
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Persona Story:
Vance, a market discoverer doing a greenfield US launch, needs to filter Naftiko Signals by firmographic bands (e.g., 100–2,000 employees) with AI-investment signal overlay — to prioritize accessible mid-market targets over the Fortune 1000, which are “too hard to penetrate.”
Problem Context
- Vance is doing market discovery for an open-source-to-enterprise-product company, a greenfield US launch, or accelerator-portfolio research
- Vance’s current options are either (a) manual firmographic research one company at a time, or (b) enterprise data subscriptions that are out of reach pricing-wise for the startup / fractional / accelerator buyer
- Naftiko Signals has the underlying AI-investment-signal data across 300 companies (Fortune 1000 by end of May 2026), but no firmographic-band filter layer
- Vincent’s verbatim ask: “Can you look at this and find me all of the companies that are between, say, 250 or maybe 100 employees and 2,000 employees that have signals that suggest they do AI stuff?”
Problem Impact
- Greenfield market entries default to Fortune-1000-shaped prospect lists that ignore Vance’s actual addressable market
- Vance ends up either over-spending on enterprise-data subscriptions or under-investing in research and going in blind
- A mid-market-shaped filter unlocks an entirely new buyer cohort for Naftiko Signals — accelerator portfolios, fractional-GTM operators, BizDev leads for open-source-to-enterprise pivots
Naftiko Today
- Naftiko Signals already crawls the underlying data (job postings, press releases, GitHub repos) across 300 companies with 40 areas of investment classification — the raw signal layer for the filter is already there
- Per-company landing pages already exist with role-based UTM; the filter layer would sit one step above these as an aggregate query interface
- API Evangelist’s 6,300-repo crawl provides the service-side data that complements firmographic + AI-investment signal
Naftiko Tomorrow
- Add a firmographic enrichment pass to the Signals crawl — employee-count band, revenue band, geography (data sources: Crunchbase, LinkedIn company-size scraping via the Apify model already in use)
- Expose a filter API / query interface on Signals that takes (size_band, industry, signal_threshold) and returns a ranked company list
- Optional: expose as a Claude skill so Vance can ask the filter in natural language and get a list back