A Trillion-Dollar Problem [draft]

The number of data workers is growing

Data work is finding, importing, cleaning, linking, organising, exploring, analysing, monitoring, automating, visualising and sharing. 300m people spend >20% of their time doing it. AI increasing accessibility will grow that to 1bn people within 10 years.

The problem: productivity plummets with data, workflow & team size

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

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

Tably is the only simple and scaleable data workspace

We’re building the Notion for data work. It replaces Microsoft BI, Tableau, Looker, Excel, your database, Fivetran, your analytics notebooks. It’s the perfect no-code UX for data.

Tably is the only AI-native data workspace

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

Tably is the first to generate intuitive user-friendly “steps”, so users can understand, learn and iterate on their analysis.

~$0 CAC or bust

We’re improving the product until, were we to cut marketing to $0, MAU and usage would keep growing via word-of-mouth alone.

As we get closer we’ll double down on cheap growth channels including content marketing, viral blog posts, programmatic email outbound and community engagement.

By targeting line-level employees with ~$1k/month ad spend our alpha has seen growth of % monthly. People blue, import steps green, non-import steps red

April traffic channels per posthog

Some of the 100k active users during our alpha

The team

We’re a team of 5, with 4 engineers and 1 designer. 4 in London, 1 in Argentina.

The timeline

Our advantage

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1+ billion users are struggling with complex, outdated and unscalable data tools.