Needle

The proactive GTM agent in Slack and Teams

Productivity

Sales

Artificial Intelligence

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The reactive-to-proactive shift is where the interesting failure modes start. When AI just answers questions, wrong answers are annoying but recoverable. When AI acts before you ask, wrong actions cost you deals and worse, they cost you credibility with the prospect who now thinks your team is uncoordinated.

Running my own cold email ops solo right now (162 leads, personalized Loom video sequence) and the manual version of what Needle does is roughly 40% of my week, pipeline watching, follow-up drafting, CRM hygiene. The math on offloading that is real. But the trust boundary Mustafa raised is exactly right, the piece that has to feel right is "would this have been the follow-up I'd have written." Not just competent, but on-voice.

Curious about the calibration period, does Needle need a warm-up phase where it drafts and you approve before it moves to autonomous action, or is it comfortable acting on day 1 with just permission scoping?

Congrats! How are you connecting to all the 3rd party tools? @onur_o ?

the fact that it pings you in slack before a call with a quick brief is genuinely useful, not just another ai wrapper hype thing

I like the vision but I'd probably want to start with recommendations before giving an AI permission to take actions automatically. Is there a gradual adoption path for more cautious teams?

One thing I keep seeing with AI agents is that context is everything. How do you balance being proactive without overwhelming reps with notifications? I'd imagine getting that signal-to-noise ratio right is one of the hardest parts.

Curious how it handles the noise though - does it learn from feedback when a flagged "stalled deal" is actually just going slow on purpose, or does it keep pinging you the same way every time?

The 'every edit is a signal' loop is the right instinct, but the thing that bit us building a similar draft-then-learn system was attribution. A rep editing a draft can mean the draft was wrong, or that the deal moved since it was generated, and those teach opposite lessons. Do you stamp each draft with the context snapshot it was built from, so an edit made because the situation changed doesn't get logged as a style correction and quietly skew the model toward the wrong voice?

A lot of tools try to be proactive, but end up just adding another layer of noise.

The interesting part here is the judgment layer - deciding what actually deserves attention vs what can be ignored.

How do you approach that early on, before there’s enough data to really tune it?

Congrats on the launch!

the part that gives me pause is "tidies the CRM on its own" - CRM data being wrong silently is worse than it being stale, because nobody double checks a field that looks filled in. is there an audit trail showing what it changed and why, or do you just have to trust the drafts before they go out

Interesting approach 🙂. The 'mirrors your permissions' model avoids a lot of the config headache. Curious how it handles document-heavy steps (proposals, contracts, PDFs) in the pipeline. That's often the messiest part of automating a sales workflow.

A proactive GTM agent only works if the handoff is legible. The important part is not that it finds every possible signal; it is that sales/support can see why this account matters, what changed, and what action is safe to take next.

Congrats on the launch! The Slack and Teams-first angle makes a lot of sense here, especially for the “act before someone opens the CRM” moments.

Curious how you handle trust when Needle suggests an action. Do reps get a clear reason for why something was surfaced, like the signal, source, and suggested next step, or is the goal to keep it mostly invisible unless they ask?

Very interesting one! Wondering how does Needle tell a deal that stalled from one that went quiet on purpose? Is it pulling that from CRM notes? Call transcripts?

The Slack/Teams angle makes a lot of sense to me. From my perspective, a lot of GTM tools end up living outside the flow of work, so people either forget to use them or only check them when something has already gone cold.

How would you avoid this becoming noisy though? If Needle is proactive, how do you decide what is worth surfacing versus what just becomes another notification people start ignoring?

Haha, genuinely speaking, this system is so motherly. I mean you do start working but somebody has already done the job for you. I personally like that it connects to every tool itself .

Congrats on the launch!

1. Curious how Needle decides that something is a signal in the first place. Is it mostly based on rules the team sets, or does it infer patterns from HubSpot, email and call context?

2. And once a rep acts on a suggestion, can that close the loop? Meaning, can Needle learn which plays worked, which got ignored, and turn that into better GTM moves over time?

Proactive feels right, it pinged me about a stalled deal before I even opened HubSpot that morning and drafted a solid follow-up. The Slack-first setup keeps it out of my way.