AnyProspect
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AnyProspect

A prospect-enrichment workspace. Names in, reviewable websites and contact routes out.

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AnyProspect is in controlled evaluation. Policy pages are templates pending legal review and are not effective policies.

Company

Built for the person doing the research.

AnyProspect started from a plain observation: a spreadsheet of shop names is not a prospect list, and turning one into the other by hand is slow, inconsistent, and impossible to audit.

Why it exists

The work nobody wants to describe out loud.

Search each business. Work out which result is the seller’s own site and which is a marketplace listing. Find the matching TikTok identity. Open pages hunting for an email. Normalise what you found. Paste it back into the workbook. Repeat, once per row, for several hundred rows.

Done manually it is repetitive and inconsistent, and the inconsistency is the expensive part — you cannot tell later whether a blank cell meant nothing was found or nobody got to that row. Done with paid data sources and no discipline, it is also needlessly costly.

AnyProspect automates the mechanical part and, more importantly, keeps a record of what happened to every row. That record is what makes the output reviewable rather than merely large.

Principles

What the product refuses to compromise on.

These are visible in the interface, not just in the copy.

Show the misses

A blank cell is a failure of the interface, not of the data. Every row comes back with an explicit outcome, and no match is never dressed up as an error or hidden behind an empty column.

Name the mechanism

The product says what it does — follows the seller chain, rejects generic domains, falls back selectively. It does not describe itself as intelligence, magic, or a black box.

Spend the customer’s money carefully

Paid lookups are cached, batched, capped, and skipped where a cheaper path already answered. Cost control is a product feature, not a billing footnote.

Claim only what is measured

No accuracy figure, coverage rate, or time-saved number appears anywhere on this site, because none has been measured yet. When they are, they will come with a methodology.

Where it is

How finished this actually is.

The product is suitable for controlled evaluation. It is not ready for open self-service launch, and saying otherwise would be the first broken promise.

Working today
Upload, seller-aware enrichment, live progress, provider comparison, merged CSV export, authenticated multi-tenant workspaces, platform administration.
Being built
Durable run history, tenant-scoped object storage, background queue with retry and cancellation, audit events, retention policy.
Not started
Billing and entitlements, CRM integration, email verification, published performance measurement.

Still open

Decisions we haven’t made.

Published deliberately. If you have a strong view on any of them, that is a useful conversation to have before they are settled.

  • Whether the brand stays broad or explicitly owns the TikTok Shop seller niche
  • Which provider and result combination counts as a billable enrichment
  • What evidence is required before an email could ever be labelled verified
  • How duplicate prospects should be handled within and across runs
  • Which regions, languages, and jurisdictions are supported at launch

Get in touch

Early enough that your input still changes things.

Access is provisioned by hand while the product is in controlled evaluation.

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