Social selling automation SaaS
- founder-DM triage, community-led inbound, launch-day-ready

After every LinkedIn thread the IG founder-profile DMs piled up - 40-180 per post - and I was spending 6 hours Monday morning clearing the queue. Half of it was partnership-pitch noise, half was cold-prospect curiosity, and the 2-3 high-fit trial-to-paid threads were getting buried. Loaded my founder-voice corpus (3 years of LinkedIn posts + 40 X threads + ProductHunt launch copy + 12 podcast transcripts). Trial-to-paid went from 14% to 24% in 90 days because the high-fit threads now land on my calendar in 60 seconds, not 18 hours.

ProductHunt launch day was always the moment we'd hit a wall. I'd personally reply to every DM for 18 hours, cap out at 110 conversations, and lose the long tail of FAQ + pricing inbound. This launch was 5.2x baseline IG + website-widget inbound - the AI handled the long tail in 60 sec each in my voice, and I still got the 6 high-fit founder-call threads. We landed 4.6x more launch-day signups than our prior PH launch, and I closed the day with energy left.

Power-user advocacy was the social motion we'd been talking about for 18 months but never operationalised. Every IG Story tag + X mention + IH shout-out got a generic 'thanks!' in our shared social Slack and that was it. Now the AI reads the mention webhook, identifies the advocate against your CRM (ARR + activation tier + role), fires an in-founder-voice thank-you in 60 seconds, and runs a 5-question DM micro-interview for the case study. Founder time per case study dropped from 4 hours to 12 minutes of sign-off. We shipped 14 new case studies in Q3.

Expansion-seat outreach via Instagram DM was the motion I never knew I was missing. Admins of existing accounts were DMing my founder profile asking about adding seats + tier upgrades + role-based onboarding, and I'd see the DM 18 hours later and reply with 2 sentences. The AI now reads the admin DM, resolves the IG handle against your CRM in real-time (Northwind account, 12 seats, $42k ARR), fires the team-tier breakdown in my voice in 60 seconds, and routes to the AE if it crosses $8k incremental ARR. We added $280k ARR in 6 months across 18 tracked accounts.

Our community-led growth motion runs across Discord, Slack, IH, and Reddit - none of which Seekadu integrates with directly. The route-in pattern is the unlock: IG-DM CTAs in our Discord bio, website-widget links in our Slack-community signature, WhatsApp Click-to-Chat links in IH comments. When the lead lands on IG DM or the widget, the AI reads the inbound-source signal (UTM tag, referrer URL), segments against the CRM, and fires a per-source reply in my voice. Last quarter: 320 trial signups from community-led inbound, 18% trial-to-paid - best-converting source we have.

After every LinkedIn thread the IG founder-profile DMs piled up - 40-180 per post - and I was spending 6 hours Monday morning clearing the queue. Half of it was partnership-pitch noise, half was cold-prospect curiosity, and the 2-3 high-fit trial-to-paid threads were getting buried. Loaded my founder-voice corpus (3 years of LinkedIn posts + 40 X threads + ProductHunt launch copy + 12 podcast transcripts). Trial-to-paid went from 14% to 24% in 90 days because the high-fit threads now land on my calendar in 60 seconds, not 18 hours.

ProductHunt launch day was always the moment we'd hit a wall. I'd personally reply to every DM for 18 hours, cap out at 110 conversations, and lose the long tail of FAQ + pricing inbound. This launch was 5.2x baseline IG + website-widget inbound - the AI handled the long tail in 60 sec each in my voice, and I still got the 6 high-fit founder-call threads. We landed 4.6x more launch-day signups than our prior PH launch, and I closed the day with energy left.

Power-user advocacy was the social motion we'd been talking about for 18 months but never operationalised. Every IG Story tag + X mention + IH shout-out got a generic 'thanks!' in our shared social Slack and that was it. Now the AI reads the mention webhook, identifies the advocate against your CRM (ARR + activation tier + role), fires an in-founder-voice thank-you in 60 seconds, and runs a 5-question DM micro-interview for the case study. Founder time per case study dropped from 4 hours to 12 minutes of sign-off. We shipped 14 new case studies in Q3.

Expansion-seat outreach via Instagram DM was the motion I never knew I was missing. Admins of existing accounts were DMing my founder profile asking about adding seats + tier upgrades + role-based onboarding, and I'd see the DM 18 hours later and reply with 2 sentences. The AI now reads the admin DM, resolves the IG handle against your CRM in real-time (Northwind account, 12 seats, $42k ARR), fires the team-tier breakdown in my voice in 60 seconds, and routes to the AE if it crosses $8k incremental ARR. We added $280k ARR in 6 months across 18 tracked accounts.

Our community-led growth motion runs across Discord, Slack, IH, and Reddit - none of which Seekadu integrates with directly. The route-in pattern is the unlock: IG-DM CTAs in our Discord bio, website-widget links in our Slack-community signature, WhatsApp Click-to-Chat links in IH comments. When the lead lands on IG DM or the widget, the AI reads the inbound-source signal (UTM tag, referrer URL), segments against the CRM, and fires a per-source reply in my voice. Last quarter: 320 trial signups from community-led inbound, 18% trial-to-paid - best-converting source we have.