Companies · Fintech
San Francisco · CA, USA · Fintech · founded 2022 · https://1stcollab.com/
Diligence memoA one-page analyst read on 1stCollab — recommendation, valuation, rhythm, risks.→1stCollab: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
1stCollab is one of 1063 Fintech companies tracked from San Francisco, CA, USA, on record since 2022. By capital raised it ranks mid-pack (ahead of 66% of sector peers), and mid-pack by modeled valuation est..
Ranking is computed against this company's own sector cohort — reported capital is fact; valuation tiers are modeled.
AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%
operates a technology-led product inferred from public copy
Grounded in: “You are a venture analyst”
Performance-Optimized Influencer Marketing at Scale
1stCollab is the first influencer platform that fully automates and optimizes every aspect of your influencer marketing program. We’ve helped hundreds of startups launch their first campaigns and enabled larger brands to scale to thousands of influencers, while saving them over $1M annually in influencer spend. What we offer: - Smart search & recommendations – Instantly connect with thousands of relevant influencers. - Full campaign automation – From outreach and negotiations to contracts, payments, and taxes, we handle it all. - Real-time performance tracking – Monitor conversions, revenue, and run A/B tests with detailed reporting.
As reported in public records reported — not modeled.
Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.
No round amounts on record to chart.
No staged rounds to sequence.
Round size and date are reported; the stage label is inferred from round size. Valuation is modeled from stage benchmarks. Directional, not a quoted figure.
Not enough modeled valuation points to chart a trajectory.
Benchmarked against 1063 companies in Fintech. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.
Raised more than 66% of sector peers (real $). Modeled value above 66% of peers (estimate).
Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.
| Stage | Amount · real | Announced | Post-money · est | Value · est | Conf. |
|---|---|---|---|---|---|
| No rounds recorded. | |||||
Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.
1stCollab is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.
Nearest neighbours across the whole database — matched on sector, stage and capital scale, and on shared operators (officers or directors named at both companies in public filings). A discovery shortlist, not a valuation cohort — verify before acting, the same way modeled figures are directional.
| Company | Sector | Stage | Raised · real | Value · est | Why similar |
|---|---|---|---|---|---|
| Abacus | Fintech | — | — | — | same sector |
| Accept.inc (formerly BoardRE) | Fintech | — | — | — | same sector |
| Aer | Fintech | — | — | — | same sector |
| Affinity | Fintech | — | — | — | same sector |
| Agentcard | Fintech | — | — | — | same sector |
| Ajaib | Fintech | — | — | — | same sector |
| Alex Bank | Fintech | — | — | — | same sector |
| AlgoTest | Fintech | — | — | — | same sector |
Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.
| Company | Sector | Stage | Value · est | Match |
|---|---|---|---|---|
| Optimizely, Inc. The first all-in-one operating system for marketing | AI / ML | Series C | $2.0B | 75% |
| Mindbase Build AI influencers that autonomously create content, engage fans… | Gaming | — | — | 74% |
| Autotab AI agents reliable enough to do real work | Fintech | — | — | 74% |
| FundersClub Online VC | Fintech | — | — | 74% |
| AgentCollect B2B debt collection powered by AI agents | Fintech | — | — | 74% |
| Fintelite Intelligent Process Automation for Lending. | Fintech | — | — | 73% |
| Storyboard Social media management tool for Instagram and Snapchat | Media & Content | — | — | 73% |
| Casca Make Banking Magical | Fintech | — | — | 73% |
See where 1stCollab sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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