Turn messy social comments into auditable, approved buyer-signal lists.
Added Jun 11, 2026
Last signal 1d ago
Social intent tools surface comments that might indicate demand, but the raw data is noisy, duplicated, context-dependent, and risky to act on blindly. Teams still need to know why a comment was scored as intent, what was cleaned or removed, and whether a lead is safe to contact.
Growth teams mining TikTok, Instagram, Reddit, or Bluesky comments for buying intent need to transform messy exported social comments into trusted outreach queues; the critical shared workflow is not generic data cleaning, but verifying AI-detected intent signals before using them for sales or validation.
The product ingests social comments from creators, product pages, exports, or APIs, then dedupes, normalizes, classifies intent, and preserves a before/after audit trail for every transformation. Users review diffs, confidence scores, source context, and reversible changes before pushing approved leads into CRM, DM workflows, or validation reports.
More founders and small GTM teams are using social comments as a demand signal, while AI makes large-scale extraction cheap but harder to trust. The missing layer is verification and provenance before outreach automation.
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Free browser-based CSV toolkit: diff two CSVs side by side, open a single file in a fast viewer, and clean it up with color rules, fill blanks, bulk replace, and column formats. 100% client-side — your data never leaves the tab.. Product Hunt launch with 9 votes and 3 comments.
Hey Product Hunt 👋 I built csvdiff.app because I kept doing the same dumb dance: export two CSVs, open both in Excel, squint at them side by side, and inevitably miss the one row that changed. Existing diff tools treat CSVs like text files — so a reordered column or an extra quote mark lights up the whole file as "changed" when nothing meaningful did. I wanted something that actually understands tabular data: match rows by key, show me what was added, removed, or modified, and ignore the noise. It grew a bit beyond diffing — you can filter, sort, and poke around your data right in the browser. Everything runs client-side. Your files never leave your machine, no upload, no account, no telemetry. That was non-negotiable since I use this with work data myself. It's free. Would love to hear what's missing — especially if you work with exports from tools that produce cursed CSVs. I've seen some things, but I'm sure you've seen worse.
CorePulse is an AI-powered data quality platform that helps you detect duplicates, missing values, inconsistent formatting, and other data quality issues in Excel and CSV files. Simply upload your dataset, receive an intelligent analysis in seconds, review detailed insights, and export cleaner, more reliable data. Built for analysts, businesses, researchers, and anyone who depends on accurate data. ⚠️ CorePulse can make mistakes. Please verify important results. Beta Stage. Product Hunt launch with 3 votes and 3 comments.
Uploaded a messy CSV with inconsistent date formats and it caught every issue within seconds, the breakdown by column was super helpful for cleaning things up.
Uploaded a messy csv with about 8,000 rows and the duplicate detection caught inconsistencies I had missed manually. The export to a cleaned file saved me a good chunk of time on a small client project.
The CSV cleaning script alone is worth it, dropped a messy client file from 40 minutes to under two without me touching a line of code. Solid pickup.
Your CSV export never matches the template your CRM, accounting tool, ERP, or database expects — wrong headers, column order, date formats. MapMyCSV remaps any messy CSV to the exact target template, entirely in your browser. Your data never leaves your machine. Auto column matching, manual fixes, date/amount normalization, row-level validation. Free preview of the first 10 mapped rows; $29 one-time unlocks full export. No account. Try the built-in sample data — no file needed.. Product Hunt launch with 6 votes and 7 comments.
Finally something that actually catches the missing fields my CSVs always seem to have. Bulk editing saved me like an hour on my last product upload, which honestly felt kind of magical after years of manual spreadsheet fixes.
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