CRM for Your Product Hunt Launch Day

Product Hunt launch day is chaotic. Use DenchClaw to track upvotes, manage responses, log new leads, and turn launch momentum into pipeline — organized, not overwhelming.

Mark Rachapoom

March 26, 2026·6 min read

CRM for Your Product Hunt Launch Day

Product Hunt launch day is one of the most exciting and chaotic days in an early-stage startup. Comments come in fast, emails flood your inbox, your Twitter/X notifications never stop, and somewhere in all that noise are your first real customers.

The founders who get the most from a PH launch are the ones who treat it like a CRM exercise from the start: track every signal, respond to every comment, log every lead, and build a pipeline out of the momentum.

Here's how to use DenchClaw to do exactly that.

Pre-Launch Setup (the week before)#

Create a Launch Day CRM Object#

Tell the agent:

"Create a launch_leads object with fields: Name, Email, Source (ProductHunt/HN/Twitter/Direct), Message, Interest Level (Hot/Warm/Cold), Status (New/Contacted/Demo Scheduled/Converted/Passed), Company, Role, Notes, Date Added."

This separate object (distinct from your main contacts) keeps launch chaos organized. You can merge high-quality leads into your main CRM later.

Set Up the Response Tracker#

"Create a ph_comments object with: Username, Comment Text, Sentiment (Positive/Neutral/Question/Issue), Responded (boolean), My Response, Date, Link."

You'll use this to make sure no comment goes unanswered.

Build the Launch Day Dashboard#

"Build me a Product Hunt launch dashboard showing: total leads today, leads by source, response coverage on PH comments, hourly lead flow, and top 5 most interested leads."

Launch Day Workflow#

When You Post (Hunt time)#

The moment you're live:

Post in your Telegram/Slack with the PH link
Tell DenchClaw: "We just launched on Product Hunt at [URL]. Today's goal is 500 upvotes and 50 leads. Set a counter I can update throughout the day."

Logging Comments as They Come In#

You're refreshing PH every 5 minutes. As comments come in, log them quickly:

"Log PH comment from @sarah_tech: 'Love that it's local-first! Does it sync across devices?' — Positive sentiment, question about sync."

"Log PH comment from @jdoe_cto: 'We've been looking for exactly this. Will try it today. How does the pricing compare to HubSpot?' — Hot lead, asked about pricing."

For the Hot leads, add them to launch_leads immediately:

"Add @jdoe_cto from that last comment as a hot launch lead. Try to find their email from context — looks like they might be at a startup."

The Response Protocol#

DenchClaw can draft responses to common question types:

"Draft a response to the sync question from @sarah_tech — we're working on team/sync features, currently best for local single-user."

"Draft a response to the HubSpot pricing question from @jdoe_cto — highlight our free open source model, contrast with HubSpot's per-seat pricing."

Review, personalize slightly, post. You're responding faster and more consistently than competitors who are doing it manually.

Tracking Email Signups#

As emails come in via your landing page:

"Add new launch lead: alex@newstartup.io, signed up from ProductHunt, no message yet, mark as Warm."

Or batch-import at the end of the day:

"Import all launch leads from ~/Downloads/ph-signups.csv — they're all source=ProductHunt"

Mid-Day Pulse Check#

Around noon on launch day:

"How are we doing? Summary of launch day metrics so far, top 5 leads, any urgent unresponded comments?"

The agent gives you a snapshot:

234 upvotes
38 comments, 28 responded (73% coverage)
67 email leads
8 hot leads, 23 warm
2 comments mentioning specific problems worth addressing publicly

Prioritizing Real-Time#

"Which lead should I call today? Rank the hot leads by potential deal value and engagement quality."

The agent surfaces the best opportunities for immediate follow-up. On launch day, timing matters — the person who signs up at 9am and gets a personal call by noon is much more likely to convert.

The Evening Follow-up Batch#

By 6pm, you have more data. Now the real work begins:

"Draft personalized follow-up emails for all hot leads from today. For each one, use their comment or message to make it specific — don't send generic emails."

The agent drafts individual emails:

For the CTO who asked about pricing: leads with the open-source angle
For the founder who mentioned they're at Series B: leads with the enterprise features
For the developer who asked about the API: leads with technical documentation

Review each, make minor edits, queue for sending.

The Week After: Nurturing Launch Leads#

Launch day is the beginning, not the end.

Day 2-3: First Follow-up Sequence#

"Check which launch leads haven't responded to my outreach. Send a second message if it's been more than 24 hours."

Day 5: Segment by Engagement#

"Segment my launch leads: (1) converted to active users, (2) replied but haven't tried yet, (3) no response. For group 2, draft a helpful onboarding email. For group 3, mark as Cold."

Day 7: The Week-One Analysis#

"One week into the launch: what do we know about our PH audience? What are the most common questions and concerns? What's the quality of leads compared to other sources? What patterns in the high-engagement leads?"

This analysis goes into MEMORY.md and informs your next campaign.

Launch Day Numbers to Track#

Metric	How to Track
Upvotes	Manual update + hourly check
Comments	`ph_comments` object, count
Response coverage	`ph_comments`: % responded
Email signups	`launch_leads` count
Hot leads	`launch_leads` where Interest = Hot
Same-day demos	`launch_leads` with Demo Scheduled status
Direct conversions	`launch_leads` where Status = Converted