This AI project on Base is under 10M and has serious potential
▲ 6 r/AllCryptoBets+1 crossposts

This AI project on Base is under 10M and has serious potential

I've been looking into Dot ($DOT) on Base (usedot.xyz) and wanted to get some outside perspectives on its fundamentals.

What caught my attention is that the project reports actual product usage and subscription revenue, rather than just presenting an AI roadmap.

The figures I've come across include:

  • 6,663 daily users
  • 281 paying subscribers
  • $161,700 in annualized subscription revenue
  • 20B+ monthly inference tokens
  • Approximately 12% of the token supply burned
  • Staking available

Project website: https://usedot.xyz

Has anyone here looked into the project? I'd be interested in independent analysis, especially on token utility, revenue quality and potential risks.

Disclosure: I hold $DOT, so I have a financial interest in the project. Please do your own research.

u/Tlesenechal — 5 days ago

Spent way too long bookmarking AI marketing tools, so I built an open spreadsheet instead : 60+ tools, 12 categories (agents, content gen, ads automation, analytics...)

I kept saving AI marketing tools I came across in random notes, so I finally organized them into a spreadsheet: 12 categories :
1 : AI Agents & Workflows : autonomous AI workers, custom agents, process automation
2 : Content Creation & Copywriting : text generation, blogging, creative writing assistants
3 : Image, Video & Audio Generation : visual assets, avatars, video & voice production
4 : SEO & Search Visibility (incl. AEO/GEO) : GEO, keyword intelligence, ranking tools
5 : Ads Automation & PPC : AI-driven ad generation, campaign management, bidding
6 : Social Media & Community : social listening, scheduling, influencer tools, CM
7 : Chatbots & Conversational Marketing : support bots, conversational LP, lead qualification
8 : Emailing & SMS Marketing : AI personalization, copywriting sequences
9 : Outbound Marketing : cold outreach automation, ABM, warm-up & deliverability
10 : Analytics & Attribution : website/product analytics, attribution modeling
11 : CRO & A/B Testing : dynamic personalization, AI A/B testing, heatmaps
12 : Sales Intelligence & SDRs : AI sales reps, lead scoring, intent data, enrichment

Each tool has a short description and pricing model.

It's definitely incomplete, built from my own stack plus research, so there are gaps. Sharing here mostly because other people building marketing stacks might find it useful, and because I'd rather crowdsource the gaps than guess at them.

Link (view-only, no signup): https://docs.google.com/spreadsheets/d/1xsmbdOj_w5u7bN3Rr6c3ZA0C8I1RqWn65zMojgyiBZ4/edit?gid=173269563#gid=173269563

Eventually I might turn this into an actual searchable directory instead of a spreadsheet. Curious whether that's something people would actually want, or if a shared sheet is good enough.

u/Tlesenechal — 2 months ago