Never opened

A Trillion-Dollar Problem

This is our pitch deck pitch page for raising investment. Email [email protected] or book a call: https://calendly.com/alecmocatta .

AI is turning everyone into a data worker

Today, over 300 million people spend at least 20% of their time working with data: finding, cleaning, analyzing, visualizing, and sharing it across teams.

As AI removes technical barriers and makes these tasks accessible to anyone, that number will grow to over 1 billion people in the next decade. But the tools they’ll need — fast, simple, AI-native, and collaborative — don’t exist yet .

The problem: AI makes data accessible but the tools make it a mess — scattered, slow, and built for another era

  1. Simple solutions fall apart as data, workflows, and team sizes grow. Scalable ones are too complex — unfriendly to both humans and AI.

  2. Every data question means jumping between pipelines, notebooks, dashboards, spreadsheets, and AI copilots — none of it built to work together.

  3. Teams don’t need another “tool” which only technical users can use, they need a simple shared data workspace where anyone can explore, analyze, and act on data — with AI, not code.

The ( a16z 2024 ) modern data stack is too complex for most startups and SMBs

Tably replaces the broken stack with a single, unified workspace for the next billion data workers

We’re building the Notion for data work . The only simple, scalable, AI-native data workspace. It replaces the tangled mess of Microsoft BI, Tableau, Looker, Excel, notebooks, pipelines, AI chats and that endless stack of random CSVs in your downloads folder. Tably is solving not just a technical inefficiency but fundamentally broken interactions at the heart of modern AI assisted data work. By unifying ingestion → transformation → analysis → visualization → sharing in a single, AI-native, no-code workspace , Tably unlocks speed, clarity, and autonomy for every data-informed team.

Tably is the only AI-native data workspace

ChatGPT, Hex, Deepnote, Julius.ai and others use LLMs to generate code – uninterpretable to regular users.

Tably is the first to generate simple linear workflows made of user-friendly “steps” that are easily interpretable and editable by both humans and AI . Unlike the complex formula detective work required in Excel or Google Sheets, this approach makes analysis easier to understand, learn from, and iterate on – especially with AI assistance.

Play with this video’s AI-generated steps below, or email [email protected] to enable AI prompting on your account.

Why Tably wins

  • AI-native & interpretable — humans and AI working with the same “steps”, not code

  • Real-time multiplayer — hundreds of simultaneous editors, human or AI, backed by our world-first CRDT database

  • Speed — local-first architecture , 100% Rust — we’re the most widely used full-stack Rust web app in the world

  • Friction-free adoption — loginless onboarding, no-code UX, 500+ native data-source integrations built on open source

  • SEO/GEO & Viral growth loops — ~$0.10 UAC for alpha, invite chains already snowballing inside orgs, Notion-style ~$0 CAC goal

  • Mass market — already greater usage than Series A-B competitors with 10-100x the funding and marketing spend

  • Organic enterprise pull — already landing with bottoms-up PLG, then expand with seat- and usage-based pricing, graduate to enterprise tier when the customer needs security & governance

“Impressive. The speed is enviable. Technologically, they are more modern and superior with CRDTs and OT. This is the shit!” — Humberto Ayres Pereira, CEO, Rows

“By all means, bad mouth [the state of the art in collaborative tech] to investors and tell them it can’t do half the things yours does” Learn more — Seph Gentle, Google Wave, ShareDB

We reached 18K MAU just by addressing simple use cases well

We started with a massive number of simple data use cases no one else seriously addresses, like quickly pulling in a messy client CSV, pasting raw data from a Slack thread to make it filterable and shareable, or turning it into an interactive chart. We focused on executing these exceptionally well while making adoption extremely easy: no sign‑up required, no learning curve, seamless sharing and collaboration, at a lower price than competitors . We’re progressively tackling more complex use cases — think KPI dashboards and predictive analytics — while ruthlessly maintaining a simple, straightforward experience.

Our core users are marketers, PMs, ops leads, and other “non-technical” knowledge workers who rely on data to make decisions but aren’t developers or data scientists.

Our alpha saw 9% monthly growth with ~$0.10 UAC over the last year driven by targeted & organic search to our templates, word-of-mouth, and viral content

Our largest invite loops. 11K users initiated invite loops, bringing in 22K new users. The top 5% of loops drove 30% of this growth, with some snowballing into hundreds across their orgs

Our team

We’re a lean, primarily self-funded team of five, working together for 2-3 years:

Our ask

We’re raising $1.5M to capture our next 500K MAU and unlock:

  • $5M ARR by converting 3% of that base into paid seats and expanding inside their orgs

  • Enterprise-grade scale & trust – SOC2/SSO, 99.95% uptime, and support for 1M+ users

  • A self-reinforcing SEO/GEO & data moat as we rank #1 for 10K templates, keeping CAC near zero as we grow

If you share our vision of a mass-market, AI-native data workspace, email [email protected] or book a call: https://calendly.com/alecmocatta

Milestones to $5M ARR and Series A readiness

More data from our alpha

June traffic channels. We’re working hard to improve our organic search and referral channels

Stickiness (DAU/WAU) of users with ≥3 lifetime active days

Some of our alpha users

Try it yourself

This page is interactive like any other page made in Tably. Try clicking on the blue bars to filter the table. Hit the plus icon on the left or type “/” to transform tables with steps, add new data connections, or create charts.


1+ billion users are struggling with complex, outdated and unscalable data tools.

By 2030, every knowledge worker edits data in Tably — much like every document now starts in Google Docs. Just as Figma rewrote design and Notion rewrote docs, Tably rewrites analytics by removing every barrier — code, complexity, silo. In a decade, 1 billion workers will manipulate data conversationally; Tably’s steps become the de-facto “data language” they share.

“Without a powerful, flexible tool for data consumers to self-serve, the promise of the modern data stack will forever be for a select few” Learn more — Tristan Handy, CEO, dbt Labs


A Trillion-Dollar Problem

This is our pitch deck pitch page for raising investment.
Email [email protected] or book a call: https://calendly.com/alecmocatta.

AI is turning everyone into a data worker

Today, over 300 million people spend at least 20% of their time working with data: finding, cleaning, analyzing, visualizing, and sharing it across teams.

As AI removes technical barriers and makes these tasks accessible to anyone, that number will grow to over 1 billion people in the next decade. But the tools they’ll need — fast, simple, AI-native, and collaborative — don’t exist yet.

The problem: AI makes data accessible but the tools make it a mess — scattered, slow, and built for another era

  1. Simple solutions fall apart as data, workflows, and team sizes grow. Scalable ones are too complex — unfriendly to both humans and AI.

  2. Every data question means jumping between pipelines, notebooks, dashboards, spreadsheets, and AI copilots — none of it built to work together.

  3. Teams don’t need another “tool” which only technical users can use, they need a simple shared data workspace where anyone can explore, analyze, and act on data — with AI, not code.

The (a16z 2024) modern data stack is too complex for most startups and SMBs

Tably replaces the broken stack with a single, unified workspace for the next billion data workers

We’re building the Notion for data work. The only simple, scalable, AI-native data workspace. It replaces the tangled mess of Microsoft BI, Tableau, Looker, Excel, notebooks, pipelines, AI chats and that endless stack of random CSVs in your downloads folder. Tably is solving not just a technical inefficiency but fundamentally broken interactions at the heart of modern AI assisted data work. By unifying ingestion → transformation → analysis → visualization → sharing in a single, AI-native, no-code workspace, Tably unlocks speed, clarity, and autonomy for every data-informed team.

Tably is the only AI-native data workspace

ChatGPT, Hex, Deepnote, Julius.ai and others use LLMs to generate code – uninterpretable to regular users.

Tably is the first to generate simple linear workflows made of user-friendly “steps” that are easily interpretable and editable by both humans and AI. Unlike the complex formula detective work required in Excel or Google Sheets, this approach makes analysis easier to understand, learn from, and iterate on – especially with AI assistance.

Play with this video’s AI-generated steps below, or email [email protected] to enable AI prompting on your account.

Why Tably wins

  • AI-native & interpretable — humans and AI working with the same “steps”, not code

  • Real-time multiplayer — hundreds of simultaneous editors, human or AI, backed by our world-first CRDT database

  • Speed — local-first architecture, 100% Rust — we’re the most widely used full-stack Rust web app in the world

  • Friction-free adoption — loginless onboarding, no-code UX, 500+ native data-source integrations built on open source

  • SEO/GEO & Viral growth loops — ~$0.10 UAC for alpha, invite chains already snowballing inside orgs, Notion-style ~$0 CAC goal

  • Mass market — already greater usage than Series A-B competitors with 10-100x the funding and marketing spend

  • Organic enterprise pull — already landing with bottoms-up PLG, then expand with seat- and usage-based pricing, graduate to enterprise tier when the customer needs security & governance

“Impressive. The speed is enviable. Technologically, they are more modern and superior with CRDTs and OT. This is the shit!”
— Humberto Ayres Pereira, CEO, Rows

“By all means, bad mouth [the state of the art in collaborative tech] to investors and tell them it can’t do half the things yours does” Learn more
— Seph Gentle, Google Wave, ShareDB

We reached 18K MAU just by addressing simple use cases well

We started with a massive number of simple data use cases no one else seriously addresses, like quickly pulling in a messy client CSV, pasting raw data from a Slack thread to make it filterable and shareable, or turning it into an interactive chart. We focused on executing these exceptionally well while making adoption extremely easy: no sign‑up required, no learning curve, seamless sharing and collaboration, at a lower price than competitors. We’re progressively tackling more complex use cases — think KPI dashboards and predictive analytics — while ruthlessly maintaining a simple, straightforward experience.

Our core users are marketers, PMs, ops leads, and other “non-technical” knowledge workers who rely on data to make decisions but aren’t developers or data scientists.

Our alpha saw 9% monthly growth with ~$0.10 UAC over the last year driven by targeted & organic search to our templates, word-of-mouth, and viral content

Our largest invite loops. 11K users initiated invite loops, bringing in 22K new users. The top 5% of loops drove 30% of this growth, with some snowballing into hundreds across their orgs

Our team

We’re a lean, primarily self-funded team of five, working together for 2-3 years:

Our ask

We’re raising $1.5M to capture our next 500K MAU and unlock:

  • $5M ARR by converting 3% of that base into paid seats and expanding inside their orgs

  • Enterprise-grade scale & trust – SOC2/SSO, 99.95% uptime, and support for 1M+ users

  • A self-reinforcing SEO/GEO & data moat as we rank #1 for 10K templates, keeping CAC near zero as we grow

If you share our vision of a mass-market, AI-native data workspace, email [email protected] or book a call: https://calendly.com/alecmocatta

Milestones to $5M ARR and Series A readiness

More data from our alpha

June traffic channels. We’re working hard to improve our organic search and referral channels

Stickiness (DAU/WAU) of users with ≥3 lifetime active days

Some of our alpha users

Try it yourself

This page is interactive like any other page made in Tably. Try clicking on the blue bars to filter the table. Hit the plus icon on the left or type “/” to transform tables with steps, add new data connections, or create charts.


1+ billion users are struggling with complex, outdated and unscalable data tools.

By 2030, every knowledge worker edits data in Tably — much like every document now starts in Google Docs. Just as Figma rewrote design and Notion rewrote docs, Tably rewrites analytics by removing every barrier — code, complexity, silo. In a decade, 1 billion workers will manipulate data conversationally; Tably’s steps become the de-facto “data language” they share.

“Without a powerful, flexible tool for data consumers to self-serve, the promise of the modern data stack will forever be for a select few” Learn more
— Tristan Handy, CEO, dbt Labs


A Trillion-Dollar Problem

This is our pitch deck pitch page for raising investment. Email [email protected] or book a call: https://calendly.com/alecmocatta .

AI is turning everyone into a data worker

Today, over 300 million people spend at least 20% of their time working with data: finding, cleaning, analyzing, visualizing, and sharing it across teams.

As AI removes technical barriers and makes these tasks accessible to anyone, that number will grow to over 1 billion people in the next decade. But the tools they’ll need — fast, simple, AI-native, and collaborative — don’t exist yet .

The problem: AI makes data accessible but the tools make it a mess — scattered, slow, and built for another era

  1. Simple solutions fall apart as data, workflows, and team sizes grow. Scalable ones are too complex — unfriendly to both humans and AI.

  2. Every data question means jumping between pipelines, notebooks, dashboards, spreadsheets, and AI copilots — none of it built to work together.

  3. Teams don’t need another “tool” which only technical users can use, they need a simple shared data workspace where anyone can explore, analyze, and act on data — with AI, not code.

The ( a16z 2024 ) modern data stack is too complex for most startups and SMBs

Tably replaces the broken stack with a single, unified workspace for the next billion data workers

We’re building the Notion for data work . The only simple, scalable, AI-native data workspace. It replaces the tangled mess of Microsoft BI, Tableau, Looker, Excel, notebooks, pipelines, AI chats and that endless stack of random CSVs in your downloads folder. Tably is solving not just a technical inefficiency but fundamentally broken interactions at the heart of modern AI assisted data work. By unifying ingestion → transformation → analysis → visualization → sharing in a single, AI-native, no-code workspace , Tably unlocks speed, clarity, and autonomy for every data-informed team.

Tably is the only AI-native data workspace

ChatGPT, Hex, Deepnote, Julius.ai and others use LLMs to generate code – uninterpretable to regular users.

Tably is the first to generate simple linear workflows made of user-friendly “steps” that are easily interpretable and editable by both humans and AI . Unlike the complex formula detective work required in Excel or Google Sheets, this approach makes analysis easier to understand, learn from, and iterate on – especially with AI assistance.

Play with this video’s AI-generated steps below, or email [email protected] to enable AI prompting on your account.

Why Tably wins

  • AI-native & interpretable — humans and AI working with the same “steps”, not code

  • Real-time multiplayer — hundreds of simultaneous editors, human or AI, backed by our world-first CRDT database

  • Speed — local-first architecture , 100% Rust — we’re the most widely used full-stack Rust web app in the world

  • Friction-free adoption — loginless onboarding, no-code UX, 500+ native data-source integrations built on open source

  • SEO/GEO & Viral growth loops — ~$0.10 UAC for alpha, invite chains already snowballing inside orgs, Notion-style ~$0 CAC goal

  • Mass market — already greater usage than Series A-B competitors with 10-100x the funding and marketing spend

  • Organic enterprise pull — already landing with bottoms-up PLG, then expand with seat- and usage-based pricing, graduate to enterprise tier when the customer needs security & governance

“Impressive. The speed is enviable. Technologically, they are more modern and superior with CRDTs and OT. This is the shit!” — Humberto Ayres Pereira, CEO, Rows

“By all means, bad mouth [the state of the art in collaborative tech] to investors and tell them it can’t do half the things yours does” Learn more — Seph Gentle, Google Wave, ShareDB

We reached 18K MAU just by addressing simple use cases well

We started with a massive number of simple data use cases no one else seriously addresses, like quickly pulling in a messy client CSV, pasting raw data from a Slack thread to make it filterable and shareable, or turning it into an interactive chart. We focused on executing these exceptionally well while making adoption extremely easy: no sign‑up required, no learning curve, seamless sharing and collaboration, at a lower price than competitors . We’re progressively tackling more complex use cases — think KPI dashboards and predictive analytics — while ruthlessly maintaining a simple, straightforward experience.

Our core users are marketers, PMs, ops leads, and other “non-technical” knowledge workers who rely on data to make decisions but aren’t developers or data scientists.

Our alpha saw 9% monthly growth with ~$0.10 UAC over the last year driven by targeted & organic search to our templates, word-of-mouth, and viral content

Our largest invite loops. 11K users initiated invite loops, bringing in 22K new users. The top 5% of loops drove 30% of this growth, with some snowballing into hundreds across their orgs

Our team

We’re a lean, primarily self-funded team of five, working together for 2-3 years:

Our ask

We’re raising $1.5M to capture our next 500K MAU and unlock:

  • $5M ARR by converting 3% of that base into paid seats and expanding inside their orgs

  • Enterprise-grade scale & trust – SOC2/SSO, 99.95% uptime, and support for 1M+ users

  • A self-reinforcing SEO/GEO & data moat as we rank #1 for 10K templates, keeping CAC near zero as we grow

If you share our vision of a mass-market, AI-native data workspace, email [email protected] or book a call: https://calendly.com/alecmocatta

Milestones to $5M ARR and Series A readiness

More data from our alpha

June traffic channels. We’re working hard to improve our organic search and referral channels

Stickiness (DAU/WAU) of users with ≥3 lifetime active days

Some of our alpha users

Try it yourself

This page is interactive like any other page made in Tably. Try clicking on the blue bars to filter the table. Hit the plus icon on the left or type “/” to transform tables with steps, add new data connections, or create charts.

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1+ billion users are struggling with complex, outdated and unscalable data tools.

By 2030, every knowledge worker edits data in Tably — much like every document now starts in Google Docs. Just as Figma rewrote design and Notion rewrote docs, Tably rewrites analytics by removing every barrier — code, complexity, silo. In a decade, 1 billion workers will manipulate data conversationally; Tably’s steps become the de-facto “data language” they share.

“Without a powerful, flexible tool for data consumers to self-serve, the promise of the modern data stack will forever be for a select few” Learn more — Tristan Handy, CEO, dbt Labs