ax1om
Predictive lead scores trained on your own conversions
What this is
Trains predictive models on your own CRM data to score which leads, accounts and deals are likely to convert or churn. Built for RevOps and GTM teams, not developers.
Our one-line summary — not the founder’s tagline.
- How it works
- Trains gradient-boosted models on a company's own CRM data to score leads, accounts and opportunities by conversion likelihood, plus renewal/churn propensity and account timing from a survival model on behavioral history. Each score ships with a SHAP-based explanation of the CRM fields that drove it, plus a Feature Stability Score.
- What's different
- Scores are trained on the company's own historical conversions rather than a generic market-average model, and every score comes with a human-readable explanation of why.
- Best for
- RevOps and go-to-market teams who want pipeline prioritization based on their own conversion history rather than a generic scoring model.
What we measured
Nobody else publishes this — it comes from knocking on the door every day.
- Watched by us
- 14 days
- Last checked
- 8d ago
Where it shows up
Every group here is a page of its own — each one checked daily.
The numbersIs it still shipping, is it overpriced, where did it land — and what the price is built from.
League price & chart
No money. No seat. It goes on your record — and in 28 days reality settles it.
Calls are closed while we rebuild accounts. You can still read every one of them.
Analytics. Launched 14d ago on PeerPush, where it placed #481. Today, it's been quiet for 7 days and the price has started to bleed.
Already bleeding a little every day, and it accelerates the longer it stays quiet.
We check this site every day, ourselves. A founder can post “still working on it” — a claim like that doesn't price. What we price is what we can verify from the outside: evidence, not announcements. The real question isn't “will this be huge?” — it's “will they still be moving in four weeks?”
The market viewHow this launch is priced and ranked in our league — the investor side of the page.
ranked by the reality anchor, not the market price
It placed #481 on PeerPush with 25 votes.
No matter how much money goes in. There is no pump here — you can't make yourself right by buying more. The line only moves on things that actually happened: an award, revenue that grew, a new platform, code that shipped — or silence.
3 quiet days in between are left out — nothing happened on them. A launch that goes quiet eases down a little at a time — never a cliff you could have run from the night before.
How the launch is moving on its own board, day by day — the crowd's attention.
A flat line is normal: votes stop within a day or two of launch, on every board. What's unusual — and what actually counts — is a launch that keeps pulling votes long after its day is over.
About
ax1om is a predictive scoring platform for RevOps and GTM teams. It trains gradient-boosted models on your own CRM data and scores your pipeline by conversion likelihood, so prioritization reflects what actually closes for you, not a market average. It scores across the lifecycle, all shipped today: · Leads, accounts, and opportunities by conversion likelihood · Renewal and churn propensity for existing customers · Timing, so you know when an account is entering its window, learned from a survival model on your own behavioral history Every score ships with its "why." SHAP feature importance breaks down the exact CRM fields that drove the number, in language reps already read ("renewal date < 90 days · 3 stakeholders engaged · pricing page viewed twice"), plus a Feature Stability Score so you know how far to trust each input. A score reps can explain is a score they work, and one you can defend to leadership account by account. Trained on your first-party data. The model learns from your closed-won, your fields, your motion. It uses whatever is already in your CRM, including enrichment you have pushed there, and adds no outside data of its own, so your scores do not degrade when a vendor's coverage drops. Built to be self-serve. Connect Salesforce or HubSpot via OAuth, define what "won" means, and get a working model from as few as 50 closed-won records. Minutes, not months. Scores and feature importances write back into your CRM automatically, or pull them through the Live API. No data-science hire, no multi-week engagement. Forward-validation shows predicted-vs-actual on real outcomes, so you can watch the model earn its place instead of taking it on faith. Built by an ops practitioner for ops teams who need to understand the drivers behind their revenue predictions using their own first-party data.
Where it launched
1 platform| Platform | Votes | Counts toward price | Link |
|---|---|---|---|
| PeerPush | 25 | sets the price | ↗ |
The board it did best on sets the price. Every other board only adds to it if the launch also placed high on that board too — because just showing up somewhere isn't an achievement. Listing on twelve directories is free; placing well on them isn't.
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