alkemy
Know what changed, who to call and what to say
49 followers
Know what changed, who to call and what to say
49 followers
You can run business development in your head for three or four accounts. alkemy runs it for hundreds. Unlike a CRM, it does not just store contacts; unlike ChatGPT, you do not have to teach it your accounts every time. It watches them continuously: one feed of every signal that means a firm is moving, why it matters, and a meeting-ready brief one click later. It cites every source and leaves blanks instead of guessing. Built for consulting and advisory firms.
@nitesh_pant Nitesh, the accountability philosophy is strong, especially the decision to leave blanks instead of guessing. The part I would pressure test is the transition from noise to judgment. If early relevance depends on like and dislike feedback, how are you measuring false positives, missed signals, cold start bias, and whether alkemy is learning one user's preferences rather than the firm's actual commercial priorities?
That learning layer may become the real moat if the system can explain why a signal is actionable, how confident it is, and when the evidence is too weak to recommend outreach.
the "leaves blanks instead of guessing" line is what would actually get me to trust the output over a generic SDR tool. separate question from the private-company one above - how does it decide a signal is worth a "want to meet" versus just noise? a filing or exec move can be technically real and still mean nothing for a sales angle, so what's stopping the feed from surfacing a lot of technically-true-but-useless signals
@galdayan it has a brain at your organization level so alkemy knows about your capabilities. that brain is used to filter news into signals. The "want to meet" is where human judgement comes into place(1). The user has to decide whether a signal is worth reaching out or not. Over time, alkemy learns judgement too. Initially, to your point, the feed might have a lot of noise. We've solved that using the like/dislike button so you can teach alkemy what are good signals vs bad ones.
I encourage you to use the product and give more feedback :)
(1) the origins of alkemy's design are in these two essays: https://niteshpant.com/essays/what-remains-human-is-accountability and https://niteshpant.com/essays/when-analysis-gets-cheap-relationships-get-expensive. We believe that humans will own relationships. We are not designing another mass-outreach SDR, we're crafting the operating system for all consultants. It's a strict quality over quantity approach.
"leaves blanks instead of guessing" is the right instinct, most of these tools would rather hallucinate a plausible-sounding reason than say "unclear." my worry would be smaller or private companies where there just isn't much public signal to work with - does the feed go quiet for those accounts, or does it start reaching for weaker signals (like generic industry news) to keep the "something interesting to say" pipeline full?
@omri_ben_shoham1 Great question! The feed doesn't go quiet, it expands to look at the smaller and private companies' periphery like competition, industry news, and any new announcements. If there is genuinely nothing, then it doesn't bring back anything. This was an intentional design choice to make sure that users don't have a bloated feed. I encourage you to sign up and use alkemy. Use PRODUCTHUNT for 25% off :)