Market Intelligence
Published Updated
Every Product Hunt launch matched to a company profile: vote counts, daily rank, community sentiment, extracted pain points, and ready-to-use outreach hooks. About 3,400 launch signals a month, refreshed daily.
Product Hunt launch signals fire when a company in Autobound's database ships a product on Product Hunt. Each signal bundles the full launch record: product name and tagline, vote and comment counts, daily rank and percentile, Product of the Day status, community sentiment, and maker profiles. Autobound also extracts pain points, use cases, and competitor mentions from the launch page and comments, then generates ready-to-use outreach hooks.
Launches are timing signals. A company that just shipped is hiring, spending on go-to-market, and evaluating tools, and the launch gives you a specific, current reason to reach out. Autobound processes about 3,400 launch signals a month, each tagged for filtering: high-performer, top-3, AI product, B2B, first launch.
One subtype: Product Hunt launchcompanyProductHuntLaunch
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What we detect, what you get, and what you do with it. Pick the path that fits your team.
Sales, marketing and RevOps: Slack, CRM fields and plays.
Sales, marketing and RevOps: Slack, CRM fields and plays.
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We match each launch to a company and keep the votes, the daily rank and what the community said.
Linear Agents
Linear Agents handle issue triage, sprint planning, and status updates inside your existing Linear workspace...
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Each record names the company and its domain, labels what happened, and links back to the source.
Linear
linear.app
companyProductHuntLaunchStrong Product Hunt launch with 2,847 votes - ranked #1 Product of the Day
“Linear Agents handle issue triage, sprint planning, and status updates inside your existing Linear workspace...”
signal_id a7c31f52…
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Send it to Slack, write it to your CRM, or give it to an AI agent.
is_product_of_day = true and is_first_launch = trueSignal alert from your workflow
Linear· Product Hunt launch
Strong Product Hunt launch with 2,847 votes - ranked #1 Product of the Day
Play: Launch-day congrats plus a growth-tool offer to the founders
Illustration. The record fields are real.
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We match each launch to a company and keep the votes, the daily rank and what the community said.
0203
Land daily JSONL from your GCS bucket. Join on company.domain.
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Add a 'Launched this week' list and filter.
Linear Agents
Linear Agents handle issue triage, sprint planning, and status updates inside your existing Linear workspace...
Step 1 of 3: Companies launch on Product Hunt
Try it on your own accounts
1,000 free credits. Query producthunt-launch in the Signal API or from Claude.
How we build this signal
Two daily runs read every launch after it has had a day to collect votes and comments.
We read launches from the Product Hunt API twice a day. Each run covers a 12-hour window that ended 24 hours ago, so votes, rank and comments have settled.
We follow each launch's website link through its redirects and take the final domain. Marketplace and host links, such as app stores, GitHub, Notion and Gumroad, are skipped. A launch without a real company domain does not ship.
A model extracts topics, pain points, use cases, tags and up to 3 outreach hooks from each launch. Each field is type-checked, and malformed values are dropped.
Each signal ID comes from the Product Hunt post ID, so a launch is one record. New launches ship daily.
Each Product Hunt signal includes launch metadata, ranking, and company resolution.
{
"signal_id": "a7c31f52-9d84-4b06-b3e9-5f2d8c41ea70",
"signal_type": "producthunt-launch",
"signal_subtype": "companyProductHuntLaunch",
"detected_at": "2026-06-26T14:30:00Z",
"batch_id": "2026-06-26-producthunt",
"association": "company",
"company": {
"name": "Linear",
"domain": "linear.app", // match on domain
"linkedin_url": "linkedin.com/company/linear-app" // or match on LinkedIn URL
},
"contact": [],
"data": {
"summary": "Strong Product Hunt launch with 2,847 votes - ranked #1 Product of the Day",
"detail": "Linear launched 'Linear Agents' on June 24, taking #1 Product of the Day. Community praise centered on AI issue triage quality and cross-team dependency tracking.",
"product_name": "Linear Agents",
"product_tagline": "AI teammates that triage, plan, and update your issues",
"product_description": "Linear Agents handle issue triage, sprint planning, and status updates inside your existing Linear workspace...",
"product_hunt_url": "https://www.producthunt.com/posts/linear-agents",
"product_hunt_id": "984512",
"website_url": "https://linear.app",
"votes_count": 2847,
"comments_count": 312,
"created_at": "2026-06-24T07:01:00Z",
"featured_at": "2026-06-24T12:00:00Z",
"daily_rank": 1,
"daily_total": 52,
"votes_percentile": 99,
"is_product_of_day": true,
"engagement_quality_score": 0.82,
"launch_timing_quality": "optimal",
"company_type": "scaleup",
"is_first_launch": false,
"maker_experience_level": "experienced",
"makers": [
{ "name": "Karri Saarinen", "username": "karrisaarinen", "headline": "Co-founder & CEO, Linear" }
],
"has_video_demo": true,
"media_richness_score": 9,
"media_count": 6,
"topics": ["Developer Tools", "Artificial Intelligence", "Productivity"],
"primary_topic": "Developer Tools",
"is_ai_product": true,
"is_b2b": true,
"community_sentiment": "positive",
"pain_points_extracted": ["Manual issue triage", "Stale project status", "Cross-team dependency tracking"],
"use_cases_extracted": ["Engineering team automation", "Sprint planning", "Roadmap reporting"],
"competitor_mentions": ["Jira", "Asana"],
"outreach_hooks": [
"Congrats on the #1 Product of the Day launch - 2,847 votes is serious traction.",
"Saw the community response to the AI triage agents - curious how you're handling enterprise rollout."
],
"relevance": 0.92,
"confidence": "high",
"days_since_launch": 2,
"tags": ["high-performer", "top-3", "ai-product", "b2b", "featured"]
}
}Bulk data
Get a free sample file or a bulk feed (API, GCS push, flat file). The sample is real ProductHunt Launches records, as a CSV.
Measured coverage
A dated snapshot counted in our production database, not a live count. Minimums, not ceilings.
Check out sample data: real Product Hunt Launch records with the same fields the API returns.
“Autobound's triggers keep us current with news and job openings, making personalization effortless.”