For investors

Start with fit. Ask better diligence questions.

Relevant deal discovery begins with a clear mandate. AccelerateLink's investor workflow is designed around thesis fit and evidence, so a compelling story does not hide an unanswered question.

Explore the matching approach

Make your thesis usable

State sectors, company stages, operating geographies, business models, and exclusions in plain language. Distinguish a hard requirement from a preference. Matching becomes more explainable when both parties can see which criteria align and which remain unknown.

Keep founder claims and reviewed evidence separate

A self-reported traction figure is not a verified result. Preserve the source, date, definition, and permission for each metric. An assessment score describes declared operating maturity; it is not a credit rating, valuation, recommendation, or prediction of returns.

  • Understand the customer problem and buying process.
  • Check how each metric was calculated.
  • List open questions instead of inferring missing data.
  • Request sensitive documents through an appropriate private process.

Track decisions through the pipeline

A useful record distinguishes discovered, reviewed, contacted, met, diligence, declined, and completed. Add a next step and owner so a promising conversation does not disappear. Live investor pipelines and private document rooms are future capabilities, not active services in this public release.

Questions, answered.

Is a match an investment recommendation?

No. Matching indicates alignment with stated criteria. It does not assess suitability, guarantee accuracy, or recommend an investment.

Can I access private founder data?

No private founder data is available through this public build. Public resources and labeled examples are presented for discovery and product exploration.