Spreadsheet to CRM Record Matcher with Review

The evidence

Score: 30 out of 100

• No opening found
• 48 pay or would pay
• 355 people describe it
• 64% hit it at least weekly
• 1.9K upvotes on their posts

Demand is one person, the hard part is record selection not name matching, and Excel fuzzy merge is free.

In their words

Multiple spreadsheets with tens of thousands of records, no unique identifiers between data sets, duplicate records, etc.

r/Accounting on Reddit

pulling exports from multiple health records and billing systems, having to match patients, and Joe Dirt is in the system but goes by Eddie

r/dataanalysis on Reddit

It matched 900 out of 1200 perfectly, was unsure on 100 but still matched 80% of those write and couldn't find the remaining

r/FPandA on Reddit

The tools that already cover it

• Insycle: Magical Import stages and previews CSVs, but its documented rules are exact (email, name plus company, name plus phone) and need a connected CRM. No fuzzy project-name matching found.
• Dedupely: Dedupes inside HubSpot with merge preview and audit logs; lists CSV integration but no documented ranked-candidate review for linking sheet rows.
• Excel Power Query fuzzy merge: Fuzzy name matching with similarity scores is built in. It has no review queue and no record of why a match was chosen, and needs setup skill.
• Claude for Excel and similar AI helpers: General helper, not built to return CRM IDs through an approval queue; fine for a few hundred rows, which is this buyer's size.
• HubSpot Data Hub: Bulk duplicate tools need Professional or Enterprise; merges cannot be reverted; not built for linking sheet rows to records.
• Plauti (Duplicate Check, Cloudingo): Salesforce and Microsoft Dynamics 365 only; no HubSpot or custom CRM support.
• Datablist: General spreadsheet cleaner with dedupe and auto-merge on paid plans; not built around returning CRM record IDs for approval.
• Validity DemandTools: Salesforce only and aimed at enterprise data teams.

How it was challenged

• Demand is one person: 9 posts and comments from two usernames repeat a new hire's story across 8 subreddits. The datascience post scored 1.
• The product sells name matching, but the author says that is the easy part. The hard part is choosing among 4+ same-building records using dates and status.
• Free substitutes cover the stated wedge: Power Query fuzzy merge (0.80 default threshold), a top reply's Python script listing 5 candidates, and Claude for Excel on paid Claude plans.
• The buyer is a new hire with no stated budget; one-off cleanups mean customers leave after the first job. The $50 a month price is untested.
• Real spend sits in in-CRM duplicate cleanup, where Insycle (7 000 installs) and Dedupely (4 000) are entrenched; many other posters have that problem, not this wedge.

The pain point it solves: Dirty CRM Data Cleanup

CRM records become stale, duplicated, and inaccurate, forcing manual cleanup and eroding trust in reporting and automation.

Sales and RevOps teams

Where they talk

• r/CRM
• r/hubspot
• r/CRMSoftware
• r/revops
• r/salesforce
• r/SalesOperations
• r/sales
• r/smallbusiness

Tools they use today

• HubSpot
• Salesforce
• Excel
• Claude
• Apollo
• GoHighLevel
• ZoomInfo
• Clay

Why those fall short

• Data quality already terrible; duplicates and junk fields remain
• data trust is so low most of the team uses spreadsheets
• nobody updates or trusts the CRM; reps enter vague or exaggerated numbers
• no layer of AI fixes a CRM where nobody updates stages or logs notes
• in-house tool had many inconsistencies; ERP not built for CRM