Comparison

Salesgram as an alternative to Affinity

Affinity and other passive mining tools read your email and calendar to infer your network. It is convenient, but the signal is noisy and the machine decides the semantics. Salesgram starts from what you choose to tag: a cleaner signal, less noise, a taxonomy that stays yours.

Active tagging versus passive mining

Passive mining automatically pulls in every contact you brush against by email or calendar: you end up with thousands of passive relationships you did not choose. Active tagging does the opposite: you mark what matters, with your own hierarchical semantics. Less quantity, far more signal quality.

What Salesgram does that Affinity does not

  • Explicit curation: you decide what enters your network and with which tags.
  • A hierarchical, controllable taxonomy, not imposed by the machine.
  • Opportunities and tasks generated when two tags cross, with the match strength.
  • AI that is always opt-in: you accept or reject every suggestion.

What Affinity does well

To be fair: if you want zero data entry and an automatic map of who talked to whom is enough, Affinity's passive mining does its job, especially in structured venture capital teams. Salesgram is the better fit when you want a curated signal and a taxonomy of your own, not one that is inferred.

When each one fits

Choose passive mining if you want full automation and accept the noise. Choose Salesgram if you want your network to stay yours, readable and queryable, with opportunities that emerge from a clean signal.

Try the difference: start free or request early access to the beta.