Every night, RekinderScore surfaces the 15-20 hottest prospects to rekindle from your stale LinkedIn threads. With suggested angles. Zero manual triage.
The Megan Problem: 400-500 stale conversations land in the inboxing team each week. Manually sorting "who should we follow up with" against "whose deal has moved on" is a tax on your best people. RekinderScore eliminates it.
RekinderScore wakes every night, reads your entire conversation history, and learns which threads are worth reviving. It learns from YOUR team's reply rates, booking frequency, and deal timing. The training signal is proprietary from day one because it lives on your platform data, not generic LinkedIn patterns.
Machine learning model trained on thousands of re-engagement outcomes from across your customer base. Learns from your team's actual reply rates, booking frequency, deal momentum, and message timing. Unlike generic AI, RekinderScore gets smarter every week.
Every morning: a ranked list of 15-20 prospects to rekindle, with confidence scores (0-100) and a likelihood-to-reply estimate. Opens in Sales Connector as a native dashboard. No new tool, no context switching, no email blasts.
For each prospect, a reason to reach out: reference a past deal, flag a business change they might face, or invoke a mutual connection. Angles are pattern-matched from successful past replies. Not canned, not generic, not "just checking in."
Pulls data directly from LinkedIn conversations within Sales Connector. Understands message metadata: reply timing, conversation length, message tone, buyer signals. No CRM mapping, no manual tagging, no API wrestling.
Deploy RekinderScore as a white-label add-on for your reseller clients. Each client runs scoring jobs on their own conversation history within their Sales Connector instance. Margin play: charge per sub-account, per scoring tier.
All data stays within Sales Connector infrastructure. Model training happens server-side. Your conversation history never leaves your account, never touches a third-party LLM API. Full compliance with data handling requirements.
RekinderScore turns 5 hours of manual triage into 5 minutes of high-signal action. Every inboxing team reports the same thing: they stop guessing and start closing.
Built for sales teams who live in LinkedIn messages and need velocity without noise.
White-label it as a client-facing tier. Each client scores their own conversations. You own the relationship and the margin. Deploy in 5 minutes. Works across all your sub-accounts.
Eliminate the daily thread triage bottleneck. Surface top rekindling candidates automatically. Let your team focus on messaging craft, not prospect sorting. 70 percent time savings reported.
Run RekinderScore on your whole pipeline. Works with unlimited prospect volumes. API access for custom integrations with your ops stack. Audit trails and role-based permissions included.
Choose the plan that fits how you sell.
The Wishdeal Factory scores every idea against 10 Adoptability axes, separate from raw quality. Here are the numbers we surface for this one.
shippable in 4 to 6 weeks. Year-1 ARR mid-case around $72K (estimate). Investment to production around $28K. probability of meaningful success around 13%, by Fermi heuristics.
Everything on this page. The brand, the score, the Fermi math, the audio pitch.
ICP, MVP scope, first 7 build tasks, 30/60/90 launch plan, GTM, email drip, LinkedIn message, objections, risk memo.
Unlock dossierDossier plus the working code starter, brand assets, copy library, and outreach pack.
See adopt scopeHire the team that built this to install, customize, and run launch with you.
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