AI tool comparison
Attie vs Klipy
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Social Media Tools
Attie
Build custom Bluesky feeds with plain English — no code, no algorithm-wrangling
75%
Panel ship
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Community
Free
Entry
Attie is Bluesky's first AI product — a standalone app built on the AT Protocol and powered by Anthropic's Claude that lets users create custom social media feeds in natural language without any coding. Built by Jay Graber (Bluesky's founder) and a new internal "Exploration team", it was unveiled at the ATmosphere conference in late March 2026. The core use case: instead of accepting the algorithm Bluesky gives you, you describe the feed you want in natural language ("show me posts from indie hackers about AI tools, no politics, ranked by engagement") and Attie builds it. Because it runs on AT Protocol, it has access to the full social graph and content signals across all ATProto apps, not just Bluesky. Attie is currently invite-only for ATmosphere attendees, with a public waitlist open. It's already become the most-blocked account on Bluesky other than J.D. Vance — a sign that AI-mediated social feeds are contentious even among the decentralized-web crowd. Future versions will let users vibe-code entire ATProto apps.
Sales & Marketing
Klipy
AI CRM that auto-captures every deal conversation, drafts follow-ups
100%
Panel ship
—
Community
Free
Entry
Klipy is an AI-native CRM for small and mid-sized sales teams that automatically captures conversations across every channel — Gmail, WhatsApp, LinkedIn, and calls — and uses them to keep your CRM current without manual data entry. Think of it as a sales chief-of-staff that watches every touchpoint and turns them into structured pipeline intelligence. The core loop: Klipy imports email threads and contact interactions automatically, enriches CRM records with conversation context, drafts follow-up messages tailored to what was actually discussed, and preps you for upcoming calls with summaries of prior interactions. The pipeline blind-spot detection surfaces deals that have gone quiet, contacts that haven't been followed up, and patterns that predict churn risk before it's obvious. At its pricing tier, Klipy targets teams that find Salesforce overkill but have outgrown spreadsheets. The auto-import from Gmail alone — which builds contact and company records without any manual work — is often cited as the feature that closes the sale. For a two-person sales team where everyone is doing their own CRM entry, this is a force multiplier.
Reviewer scorecard
“Using an AI to write your own feed algorithm, on open protocol rails, is fundamentally different from accepting a black-box recommendation system. The AT Protocol data access is the real moat — it gives Claude context no other AI social assistant has. This is the most interesting social AI product in years.”
“Most-blocked account on Bluesky before public beta — the decentralized/open-web community is deeply skeptical of AI-mediated content, and they're not wrong to be. Natural language feed algorithms also sound better than they work; niche interest filtering is still inconsistent. Wait for the waitlist to open and test it yourself.”
“The category is 'auto-capture CRM' and the direct competitors are HubSpot's AI features, Attio, and whatever Salesforce calls its Einstein layer this month — but none of them nail the zero-entry promise for a two-person team the way Klipy does. The break point is scale: the moment you have a dedicated RevOps person, this probably loses to a more configurable platform. What kills it in 12 months isn't a competitor — it's Gmail and LinkedIn tightening API access, which would gut the auto-import that closes every sale.”
“When users can describe their own feed filters in natural language on open protocol data, the algorithmic chokehold that Twitter and Meta have wielded for years becomes technically obsolete. Attie is early and rough, but it's pointing at the end of platform-controlled content distribution.”
“The thesis here is falsifiable: within 3 years, CRM data entry as a human task will be considered a process failure, and the CRM that wins is the one whose data layer is the most complete — not the one with the best pipeline UI. Klipy is riding the trend of ambient data capture from communications channels, and it's on-time, not early. The second-order effect nobody is talking about: if auto-capture becomes table stakes, the differentiator shifts entirely to inference quality — who can turn that raw conversation data into the most accurate deal predictions — and that's a model and data-flywheel race Klipy needs a head start on now.”
“Every creator hates algorithmic feeds. Attie gives actual control — intent-based filtering instead of opaque engagement optimization. If it works, building a 'show me everything from the 50 creators I care about plus viral design content' feed in five minutes changes social media for creators entirely.”
“The buyer is obvious — a 2-to-10-person sales team where the CEO is still carrying a bag and nobody has time to log calls. That's a real budget line (tools, not headcount) and a defined pain. The moat concern is real: Gmail integration is a feature, not a defensible position, and HubSpot could ship this to their free tier and bury Klipy overnight. What saves it is that the SMB CRM graveyard is littered with HubSpot refugees — the wedge isn't the feature, it's the positioning against complexity.”
“The job-to-be-done is clean: keep the CRM current without anyone having to keep the CRM current. That's one job, no 'and.' The Gmail auto-import is the right moment of first value — if connecting your inbox gives you a populated contact list in under 5 minutes, the product has earned its trial. The gap I'd watch is the editing surface: auto-captured data is only as good as the correction workflow, and if fixing a bad import is painful, the tool trains users to distrust it.”
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