TokenRoster
TokenRosterFor investors

Spend your time on the right founders.

Find startups with structured profiles, independent assessments and organised data rooms, so every first meeting starts from evidence, not from chasing the deck.

Browse startupsOpportunities by city

Free to browse · Founders control what they share

Example · Find founders who did the homeworkIllustrative

Halcyon Bio

Diagnostics · Boston, MA
Round
Seed
Target
$2.5M
Closes
Jan 31
Team
9 people
Pitch deck · Data roomRequest access

Northwind Labs

AI developer tools · Austin, TX
Round
Seed
Target
$1.5M
Closes
Dec 15
Team
6 people
Pitch deck · Data roomRequest access

Ferrous Robotics

Industrial automation · Pittsburgh, PA
Round
Seed
Target
$3M
Closes
Feb 28
Team
12 people
Pitch deck · Data roomRequest access

Find founders who did the homework

Every profile laid out the same way

  1. Comparable profiles

    Industry, location, team and company details in the same format, so you can compare without reformatting ten decks.

  2. The round at a glance

    Raising companies list their round, target amount, status and closing date, with the pitch deck attached.

  3. Search where you invest

    Browse the directory or see who is raising in a given city or state.

Example · Read the assessmentIllustrative

Assessment report

Northwind Labs

Seed · AI developer tools · 6 dimensions
Shared with you
70of 100
Solid
  • Team
    78
  • Market
    64
  • Product
    71
  • Traction
    58
  • Business model
    82
  • Financials
    69
Strongest

Business model — evidence is specific and verifiable.

Biggest lift

Traction — the report lists what would raise it.

Green flags

  • Repeat founders with a prior exit
  • Clear wedge: platform teams at mid-size companies

Red flags

  • Waitlist not yet converting to paid
  • No unit economics in the deck

Recommendation

Investable story. Before you raise, show pilot-to-paid conversion and add unit economics to the deck.

Illustrative scores. Every report explains each score, and what would raise it.

Read the assessment

How a company scored, and why, before the first call

  1. Reasons behind every score

    Each dimension is scored and weighted, with the evidence the score is based on.

  2. Green flags and red flags

    What looks strong and what needs a closer look, so your first questions are the right ones.

  3. Shared by the founder

    Founders choose to share their assessment, through a badge on their own site or directly with you.

Example · Go straight to the documentsIllustrative

Northwind Labs · Data room

Opened with your verified email

  • PDFnorthwind-deck.pdfPitch deck
  • PDFfinancial-model.pdfFinancials
  • PDFcap-table.pdfCap table
  • DOCXpilot-results.docxCustomer research
Seed · $1.5M target · closes Dec 15

Go straight to the documents

No back-and-forth to get the deck

  1. The full picture

    Deck, financials, cap table and customer research — the documents you would otherwise chase over email.

  2. Organised before you asked

    The founder has already gathered and labelled everything, so diligence starts on day one.

  3. Founders see your interest

    The founder is told when a verified investor opens their room, so your follow-up starts warm.

Example · How it worksIllustrative

1 · Find

Raising in Austin, TX

  • Northwind LabsAI developer tools · Seed
  • LedgerlineFintech · Seed
  • Cobalt HealthDigital health · Seed
3 · In your inbox

Your data room access link for Northwind Labs

This link expires in 15 minutes and can only be used once.

How it works

From discovery to diligence

  1. Find companies

    Browse the directory, see who is raising by city, or follow a score badge from a founder’s own website.

  2. Request access

    Enter your email on the founder’s data room page.

  3. Open the room

    Use the one-time link we email you and go straight to the documents.

Questions

Can I see every company’s score?

No — founders choose whether to share. Many show it with a badge on their own website; others share it when you talk.

Who writes the assessments?

They are AI-generated against a published framework, from the company’s own materials. Treat them as a structured first pass, not a substitute for your diligence.

Can I score companies against my own thesis?

Yes. Build your own framework and every company that applies through it is scored against your criteria.

Does it cost anything?

Browsing and opening shared data rooms is free. Custom frameworks are on our Enterprise plan.

Have your own investment thesis?

Turn it into a scoring framework and run every inbound company through it the same way.

See frameworks →

Meet founders who are ready for you.

Browse startups and open the data rooms founders share with you.

Browse startups