Building @refix_ai

Joined May 2013
Ayush Singh retweeted
we made onboarding for a data tool feel like unboxing an iphone such a happy day for all our new customers! they keep sending us screen recordings and say its one of a kind trick was to make it truly personalised as our agents go through their funnel make enterprise software sexy again
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Ayush Singh retweeted
Proactivity in agents is fundamentally misunderstood here's why and how to fix it
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Ayush Singh retweeted
today we're launching Claude Duet for growth it comes to you with growth opportunities that need your attention does the investigation while you’re away and checks with you before shipping the fix no dashboard to check. no agent to prompt. anymore.
We’re opening a research preview of Claude Duet, a new app where Claude works as a proactive agent. It comes to you with what needs your attention, completes tasks you ask of it, keeps working when you step away, and checks with you before it acts on your behalf.
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Ayush Singh retweeted
today we're launching Claude Duet for growth Refix comes to you with growth opportunities that need your attention does the investigation while you’re away and checks with you before shipping the fix no dashboard to check. no agent to prompt. anymore.
We’re opening a research preview of Claude Duet, a new app where Claude works as a proactive agent. It comes to you with what needs your attention, completes tasks you ask of it, keeps working when you step away, and checks with you before it acts on your behalf.
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Ayush Singh retweeted
last month i said SEO is the easiest thing in 2026 AEO isn't, yet. chatgpt recommends products off a handful of pages and you have no idea which ones. turns out you can find them, and the people who wrote them, for 1¢ a prompt. running it on our stuff this week! integration soon
Introducing OpenSource AEO Toolkit - Find every source AI cites, and the author behind it - Get your product into the sources AI trusts - 1¢ per prompt, no subscription - Access 4000+ data & services Try it at treg.to/aeo Partner with @cloroai Repo link below 👇
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Ayush Singh retweeted
we mapped every marketplace on the internet and made the largest dataset 10,000+ of them. deliveroo, airbnb, swiggy, vinted, and everyone in between for each, we shopped it like a real buyer and captured - every screen from search to checkout - every experiment and feature flag they're running - every tracker and event that fired - every dark pattern they use till checkout and @refix_AI has already been trained on all of them because the best growth ideas are already live on your competitor's checkout comment & tag @refix_ai and i'll dm you a link👇
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Ayush Singh retweeted
SEO is the easiest thing in 2026 the gurus want you to believe otherwise drop your website and tag @refix_ai in the replies, it'll audit your website for the 3 quickest wins
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Ayush Singh retweeted
JEV IS INSANE. We gave it 5000 real user journeys from a consumer app. It only saw each user’s first 3 journeys. We hid whether they ever came back. In around 10s, Jev predicted who would quit, how confident it was, and where each journey started going wrong. It correctly flagged 712 out of 948 users who later disappeared. Total cost: $0.06 Refix then looked across everyone Jev flagged, found the recurring product issue, and drafted the fix. Comment and tag @refix_ai so we can add you to get early access.
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Ayush Singh retweeted
every "proactive" AI agent shipping right now is faking it. yours included. there's a ladder of autonomy, and almost everything calling itself an "agent" is stuck on 2: L0: you ask, it answers (every chatbot) L1: you set a cron, it runs L2: an event fires, it reacts (webhooks, zapier + an llm) L3: it decides when to look again L4: it decides what's worth doing. nobody told it to. the ambient agents everyone's hyping right now (@claudeai tag included, it's genuinely good) live around L2-L3. they watch the channels you grant them and follow up on threads they can already see. useful. but you still have to point them. that's the ceiling. the jump from L3 to L4 is the entire game. L3 still waits for a signal. L4 wakes up with no trigger at all, looks at your product, and writes its own assignment: "nobody asked, but this retention dip is worth investigating. going in." we built L4. we call it the oracle. it generates its own charters, no human in the loop. because the valuable work was never answering the question well. it was knowing which question was worth asking in the first place. something huge launching soon.
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Ayush Singh retweeted
a company was quietly losing $45k a month from something none of their dashboards could see we built a SoTA data agent that plugs into your entire stack: PostHog, Mixpanel, GA, BigQuery, your warehouse; and finds these! it found that one in week one quit my job some months ago to build this. it's live @refix_AI
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プロダクトが自分自身を改善できる時代に。 @refix_AIはKPIを見るだけじゃない。 製品、マーケ、セールス、サポートの数字を横断し、売上に効く施策を見つけて動く。 数字を見て、優先順位を決め、実行まで持っていくという人間の仕事を担う。 詳細は🧵 via:@regalstreak
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Ayush Singh retweeted
Introducing Refix - the world's first revenue obsessed AI Product Manager It continuously watches product, marketing, sales, support metrics; finds revenue opportunities proactively, and ships autonomously For the first time, your product can improve itself.
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Ayush Singh retweeted
okay this kinda went viral and we got a whole ass bus parked outside yc startup school taking people for the afterparty!
YC startup school india wraps tomorrow we’re parking a full party bus outside the venue and taking the first people who get on for free drinks! 🍻 who's coming? VCs, founders and the coolest builders in bangalore! comment “PARTY BUS” for the invite + location. limited slots.
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Ayush Singh retweeted
YC startup school india wraps tomorrow we’re parking a full party bus outside the venue and taking the first people who get on for free drinks! 🍻 who's coming? VCs, founders and the coolest builders in bangalore! comment “PARTY BUS” for the invite + location. limited slots.
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Ayush Singh retweeted
A new AI paper on “procedural memory” basically describes what we’ve been building with Prism. Most agents just recall facts. Prism remembers how your team actually solved problems, then reuses that process when it sees a similar pattern.
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Niching down does not necessarily mean cutting down, can also mean just repackaging what already exists - Made Refix AI as a full product - Vibe coded a @framer plugin in a night - Just a new UI on existing system - #1 analytics plugin on the marketplace - Added 600+ users
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We’re betting big this time with @refix_AI. Our upcoming agent is a moonshot to deliver real-time, personalized insights straight to every teammate’s Slack. After building analytics for 600+ websites and talking to our customers, one thing was clear - insights stuck in dashboards slow down every decision. now running POCs, DM for a demo!
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50M+ events over ~450 domains, all on just 0.5 vCPU & 2 GB RAM thanks to @TimescaleDB Dashboard still loads fast AF
As of today, @refix_AI is helping builders on the internet track nearly 5M events a month - all without writing a single line of code. Big props to the team for making the dashboard feel like magic. Still early, but when you’re building analytics, there’s no room for fluff.
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Ayush Singh retweeted
As of today, @refix_AI is helping builders on the internet track nearly 5M events a month - all without writing a single line of code. Big props to the team for making the dashboard feel like magic. Still early, but when you’re building analytics, there’s no room for fluff.
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