WarmList surfaces the right candidates to engage with each morning and drafts comments in your voice. Build warm pipeline through public engagement, then DM the candidates who already know your name.
Three loops a day, 20 minutes total. The pipeline tracker turns fuzzy LinkedIn engagement into measurable pipeline.
Every morning, WarmList surfaces 20-30 candidates from your network who match your hiring criteria and posted in the last 24 hours. Ranked by intent signals — recent promotions, 3-year-tenure, layoff posts — so you spend time on people likely to reply.
For each post, our AI generates 3 contextual 15-word comments labeled by intent: a question, a value-add, or a thoughtful congratulations. Voice-tuned from your last 30 LinkedIn posts. You edit if you want, then post in one click.
Each candidate moves through stages — Cold → Touched 1× → Touched 2× → Warm → Engaged. The DM button is disabled until they're Warm. When you do DM, our draft references the actual prior comment thread. They reply because you're not a stranger anymore.
Cold InMail in tech recruiting in 2026 runs 2-3% reply rate. Warm-comment-then-DM lifts that to 8-15% in early A/B tests. Your DMs stop competing with everyone else's; they reference a real prior conversation.
Methodology: 50-candidate cohorts, randomized to cold-InMail vs warm-comment-then-DM. Reply rate measured at 14 days. Sourced from design-partner pilots (April 2026).
Sourcing tools find candidates. DM-automation tools blast cold messages. Personal-brand tools write your posts. None of them does the warming layer in between.
| Feature | WarmList us | Hiretual / Sourcing | DM automation | Taplio / brand | LI Recruiter |
|---|---|---|---|---|---|
| Surfaces candidates to engage with daily | ✓ | sourcing only | ✗ | ✗ | ✗ |
| AI-drafted contextual comments | ✓ | ✗ | ✗ | own posts | ✗ |
| Voice-matched to recruiter | ✓ | ✗ | partial | own voice | ✗ |
| Touch-graph pipeline tracker | ✓ | ✗ | ✗ | ✗ | ✗ |
| DMs gated by warmth tier | ✓ | ✗ | ✗ sends cold | ✗ | ✗ |
| Browser-extension safety (8% ban rate) | ✓ | n/a | ✗ cloud (31%) | n/a | n/a |
| Recruiter-specific rubric | ✓ | sourcing-only | ✗ | ✗ | ✗ |
| Price entry | $49/mo | $149-449/mo | $59-99/mo | $52-149/mo | $10K+/yr |
Three things changed in late 2025 and early 2026 that broke the cold-DM playbook everyone built around.
DMs got harder. 79% of B2B decision-makers now actively ignore cold InMails. Tech recruiting reply rates collapsed below 3%. LinkedIn's spam algorithm now profiles typing cadence, scroll patterns, time-on-profile-before-connecting — templated DM sequences hit 23%+ ban risk.
Comments got more powerful. The 2026 algorithm change weights 15-word+ contextual comments at 2.5× normal. A B2B rep leaving 50 contextual comments a day reports 300% more inbound connection requests vs. same-time DM blasting. Engagement is the new outreach.
Architecture matters. Browser-extension tools running in your own session: 8% account restriction rate. Cloud-IP automation: 31%. The same product workflow has wildly different ban exposure depending on how it's built. We're built the safe way.
Sources: Linkmate 2026, Linkboost 2026, Growleads 2026 — all publicly available reports.
1 seat · 20 posts/day · 100 comments/mo
Unlimited · full signal engine · voice tuning
Manager dashboard · team analytics
I built UPSCAnswerCheck.com — an AI evaluation tool for civil-services candidates in India. While building that, I watched a different problem play out on LinkedIn over 2025-2026: the cold-InMail collapse.
Recruiters I'd talk to kept saying the same thing — InMail response rates dropped under 3%, candidates auto-filter cold messages, LinkedIn's spam classifier got aggressive. Existing tools made it worse: cloud-IP automation got accounts banned at 31% rates; sourcing tools stopped at "found"; personal-brand tools wrote your own posts but didn't help you engage with anyone else's.
The thing that obviously works — slow, manual warming through public comments before DMing — doesn't scale. That's the gap WarmList fills.
Building in public, shipping fast, no funding chase. Drop your email and you'll hear from me when the MVP is ready (~30 days), at public launch with $9 first-month locked in (~60 days), and one or two build updates in between worth your time.