ProspectAI (prospectai.so)

Lead enrichment is API-driven — once set up, it runs without daily founder input. Users import a CSV, get enriched data back, done. Evidence suggests the product is self-serve. The gap: the enrichment prompt templates and scoring logic are likely founder-authored and undocumented. A technical handoff doc covering these would push this to 13/14. Action needed: document the enrichment logic (2-3 page technical runbook).

B2B sales teams, SDRs, and outbound agencies are the primary users. This is one of the most documented buyer personas in software — buyers immediately understand the ICP, the use case, and the competitive landscape. Former sales engineer background means the product actually fits how sales teams work, not just how they wish they worked.

$4.1k MRR at 6 months is meaningful — this is the threshold where buyers start seeing a real retention curve. Six months of growth history gives enough signal to model churn. IH self-reporting is credible with this level of specificity. The remaining gap is churn data itself: if month-5 and month-6 retention are above 70%, this becomes a top-tier asset.

CSV upload → enriched output is conceptually simple. Sales teams have done this with Apollo, Clay, and Hunter — they understand the workflow. New operator onboarding depends on how the enrichment API keys are configured (OpenAI/Clearbit/PDL). If personal accounts, this is the primary migration task before sale.

Value is concrete and measurable: enrichment accuracy rate, leads enriched per minute, reduction in manual research time per rep. Sales teams know exactly how to measure this — it directly affects their quota attainment. One of the strongest value propositions in the AI tools space because the ROI is visible in week one.

This is the only significant gap. Lead enrichment tools are prompt-engineering-heavy — the quality of the output depends on the quality of the underlying prompts and scoring rubrics. These are almost certainly in the founder's head (or in an undocumented notebook). A technical buyer can recover this in 1-2 weeks; a non-technical operator cannot. Fix before sale: export and document all enrichment prompts and scoring rubrics. This alone can add $10k+ to the sale price.

B2B lead data is one of the largest software categories globally. Strategic acquirers are abundant: sales engagement platforms (Apollo, Outreach, Salesloft), SDR automation tools, agency rollups, CRM vendors, and enterprise data providers. Every sales-adjacent software company is either a potential acquirer or a customer. This is the strongest market position of the three tools we've graded this week.