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I kept losing deals to timing, so I built a daily signal monitor for my own market

Years of building SaaS with small teams, and my most expensive losses were never the deals I lost in a bake-off. They were the ones I never saw: the perfect-fit company that raised a round, hired the team I sell into, and picked someone else, while I was in a browser with thirty tabs open, researching the wrong accounts.

So I built the thing I wanted: describe the companies you sell to, and it watches that market for the public changes that mean something (funding, hiring for the buying team, leadership moves, relevant news), checking priority accounts daily, then ranks your accounts by how strong that evidence actually is. Every signal links back to the source it came from, and the score decays as news gets old, because I did not want another number I had to trust.

Two things I got wrong on the way, in case they save someone time:

  1. I started with "more leads" and it was the wrong product. A longer list made the problem worse. The value is a shorter list you can verify.

  2. Scores need to show their work or nobody believes them. My first version showed a number. Users did not act on it. Now every point of the score opens into the dated evidence behind it, and that changed how people use it.

It is live at leadalise.com. 14-day trial (card and work email required), pricing is on the site, and the whole thing is one person so far. Happy to answer anything about the signal pipeline or the scoring; the parts that were hard were mostly "is this evidence real" rather than "can we fetch it".

What I would ask this crowd: if you sell B2B, what change at a company has actually made you pick up the phone? I want to know which signals matter to people who are not me.

posted to Icon for group Building in Public
Building in Public
on August 17, 2026
  1. 1

    The shift from “more leads” to a smaller list of verified, timely opportunities is really interesting. I also like the idea of showing the evidence behind a score instead of asking users to blindly trust another number. In my experience, knowing why something is being flagged is often more valuable than the score itself. Curious to see how you balance signal quality with false positives as the system scales.

  2. 1

    For me, the strongest B2B signals have been a recent product launch, funding, hiring around growth/marketing, or a visible push into a new market. Those usually create an actual reason to talk now instead of sending the same pitch to a company six months too early.

    I also like the move from “more leads” to a smaller ranked list. Better timing on 20 relevant accounts seems much more useful than another database of 10,000.

  3. 1

    Your two "got wrong" lessons are the whole product. "Shorter list you can verify" beats "more leads" is the exact inversion most intent tools never make, and "scores must show their work or nobody acts" is what makes the first one usable. Those aren't footnotes, they're your moat, most competitors ship a confident number and lose on exactly the trust gap you closed.

    To your question, the signal that makes me pick up the phone isn't any single event, it's the one that creates a new buyer or breaks the status quo. A funding round alone is noise, everyone spams those. But "they hired a VP of X" is gold, a new leader arrives needing to prove themselves, actively re-evaluating vendors in their first 90 days. Same with "the champion who blocked you left." The best signals aren't "company is doing well," they're "the person who decides just changed, and the old no is void."

    So the sharpest scoring might weight people-change over company-change. Money events are crowded; power-shift events are where a closed door reopens.

    Which signal is your evidence strongest on so far, funding, hiring, or leadership?

    1. 1

      This is the sharpest framing of signal quality I've seen: "the person who decides just changed, and the old no is void." Stealing it for my thinking, with credit.

      Honest answer on evidence strength: hiring is where my data is deepest right now, job postings are abundant, self-published and dated, so verification is nearly free. Funding is the most reliable to detect but you're right that it's crowded, I treat it less as "reach out now" and more as a context multiplier: a raise plus first sales hires within weeks is a different animal than either alone.

      Leadership change is exactly where my coverage is thinnest today, and your comment moves it up my roadmap. The "new VP re-evaluating vendors in their first 90 days" window is real, and it decays fast, which fits how my scoring already works (evidence ages out).

      Did you act on those power-shift signals manually, or did some tool actually surface them for you?

  4. 1

    The funding, hiring, leadership and news signals make for an interesting mix. Curious which one has produced the most useful signal so far.

    1. 1

      Hiring so far, mostly because it's the most verifiable. Postings are self-published, dated, and link back to a source. Funding is easier to detect but noisier as a buying trigger. The mix matters more than any single type though, two moderate signals within a month beat one loud one.

      1. 1

        That makes sense — the distinction between verifiable signals and noisier triggers is useful. If you’re open to continuing the conversation, feel free to share your email.

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