Turn messy social comments into auditable, approved buyer-signal lists.
Added Jun 11, 2026
Last signal Jun 11, 2026
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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I got curious about what people actually whine about online, so I scraped Bluesky for pain-point posts and I’m filtering them for potential software ideas. The app runs each through AI to summarize the pain point and give an app-fit score. Nothing super technical or magical, just a fun experiment. It’s a rough first iteration and absolutely not perfect. I’m just playing with it while I have some free time and wanted to see if it leads to any interesting sparks for anyone here. If you think it’s dumb, say so. If you think it’s cool, tell me why. If you have suggestions, even better. [ideafinder.xyz](ideafinder.xyz)
Let’s use this community right - help each other validate ideas, whether they’re just concepts or already live. Drop your idea in the thread (with or without a link), and the rest of us will tell you what we think. I'll go first: I'm working on a tool called [**Signal Harvester**](#) that finds people in TikTok and Instagram comment sections who are already talking about their problems or interests - like under niche influencers or product pages. The idea: If you're selling a journaling app and someone comments, “What do you use for journaling?” - the tool helps you spot that, and reply or DM with your product. Like some tools that already use Reddit or LinkedIn to find buying intent - but for IG and TT. Still in waitlist phase. Curious what you think: * Is this something you'd use? * Any other use cases come to mind? Now post your own idea! Let’s validate each other’s stuff. (Don't worry about getting your idea stolen - most people don’t even build their own ideas.)
I know this sub is mostly for sharing projects that are already built - but I think it could also be a great place to validate (or kill) early ideas. Let’s make this a feedback loop (and possible avoid someone to spend months on something with no legs) I’ll go first: I’m working on a tool called [Signal Harvester](signalharvester.com) \- it’s a tool that helps you find potential customers in **TikTok and Instagram comment sections**. You plug in influencers or niche creators in your space, and it scans their comments for people asking questions, sharing problems, or expressing interest - like: \* “What do you use for journaling?” \* “I can never find a sweeter that fits me that well” \* “Thanks for sharing this, i've been improving my home workouts a lot” Then you can reply or DM with your product as the solution. It’s like how people use Reddit or LinkedIn for lead gen - but tailored for IG and TT. The landing page is live with a waitlist. Would love to hear what you think - is this useful, or totally off? \-- Now drop your own project below and I’ll give feedback in return! Let’s build real things and pressure-test the ideas early :)
Hi Sass community :) I'm building a SaaS tool to help find buying intent on TikTok and Instagram. It's called [Signal Harvester](signalharvester.com) \- here's the idea: \* You plug in niche creators or product pages in your vertical \* It scans their comment sections for relevant signals, like: \- “What tool do you use for this?” \- “I struggle with \[X problem\]” \- “Thanks, this helped me - still looking for…” \* You get a feed of qualified comments and either: \- reply with your product \- drop a DM \- or automate a soft promo sequence It’s basically what some tools already do on Reddit or X (jump into problem threads) - but structured and scalable for IG + TikTok, where intent is hiding in plain sight. Landing page is live with a waitlist to test whether people actually want this. What do you think? Would you use it? What would make this a no-brainer? \-- Also, feel free to drop your new saas ideas and i'll gladly share feedback!!
I kept running into the same issue working with CSVs: You clean the data… but you don’t really know what actually changed. Most tools just: → remove duplicates → normalize values → fix formats …but they do it silently. So you end up asking: \- Did it remove something important? \- What exactly got modified? \- Can I trust this output? \--- So I built a small tool for this: CSV Clean Inspector Instead of just cleaning data, it lets you see, inspect, and verify every change. \--- What it does: • Clean CSV files Remove duplicates, normalize empty values, fix inconsistent formats • Inspect data quality Find missing values, invalid entries, inconsistent data types • Compare changes You get a diff view — before vs after for every modification • Preview data High-density table view for real inspection • Track transformations Every step is recorded and reversible \--- Why I built it: Most CSV tools optimize for speed. I wanted something that optimizes for trust. If I’m going to use the data downstream (analysis / scripts / pipelines), I need to know exactly what happened to it. \--- Privacy: Everything runs locally in your browser. \- no uploads \- no tracking \- no data leaves your machine \--- Curious how others handle this: Do you usually just trust your cleaning tools/scripts, or do you actually verify changes manually?
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