
š· Launching @AutoAiMarketing and https://xitter.cf/t.co/JB1fPZYJsv šØāš» AI integrations and Agents š° Two exits for $34K šļø All my products: https://xitter.cf/t.co/81WJPseOZM
Vibe Coding Planner and Exec ā
Joined May 2009
- Tweets34.6K
- Following713
- Followers2.8K
- Likes16K
Martin Tonev retweeted
Everyone in tech wants to solve a problem nobody else is working on.
Until the problem is death.
@ivanidze404 is stepping into the conversation most founders avoid.
Iād like to see more ambition spent on making the worst week of someoneās life less overwhelming.
i asked chatgpt how to plan a funeral.
it said to call a few funeral homes and ask for price lists. makes sense when only 18% of them post prices online, it had nothing to show me.
every other industry figured out online shopping 20 years ago. this one still runs on phone calls.
so 8 in 10 families call one place and say yes to an $8k decision, sometimes from a hospital hallway.
why are we fine with that?
episode 2 of building an ai-native funeral company in public.
Martin Tonev retweeted

Atta š¬@attacomsianOct 21
šµš°
PakistanConnected via Pakistan App StoreAccount-level information, not a live location or per-post device.
Introducing Vitals CLI 
The Activity Monitor alternative that thinks in apps, not processes. Now as a command.
> brew install --cask foredotstudio/tap/vitals
$15 lifetime, only 13 left ā 3 days free
š vitalsmac.com
Martin Tonev retweeted
Most indie hackers burn out trying to create content daily.
But you don't need more contentāyou need better distribution.
Hereās how to turn 1 idea into 10 growth assets š š§µ
Martin Tonev retweeted
š In a world where everything is connected, cybersecurity is more important than ever.
Protecting data, preventing attacks, and staying one step ahead of hackers is a challenge that never stops.
The future of technology depends on security. š
#CyberSecurity #IT #Tech
Martin Tonev retweeted
I thought launching a startup meant losing sleep.
The Pancake founders jumped out of a plane, hit #1 on Product Hunt, and now owe the internet a world-record pancake stack.
At this rate, their next feature ships from space.
Who in the Bay Area has a venue and a very high ceiling?
pancake.ai
3-step guide to a viral launch from SF founders:
1. jump out of a plane to launch pancake.ai
2. set a realistic goal, like hitting #1 on Product Hunt in 24 hours with 0 prep
3. make your users a promise youāll keep, like breaking a Guinness World Record for the tallest pancake stack if they help you win
observe the consequences.
we're picking a place to break the record rn btw
Martin Tonev retweeted
Your next customer might send an AI agent to check out your product.
Can it finish signing up? Where does it fail?
Scope is the first end-to-end attribution platform for AI-agent traffic. See the journey, spot blockers, and connect agent activity to revenue.
tryscope.com
We just solved attribution for AI Agents.
Introducing Journeys.
AI agents are visiting your product. Now you can see what theyāre trying to do, what converts, and whatās making them churn.
With Journeys, you can:
- See the moment AI agents visit your product
- Follow the paths they take
- Track purchases, installs, and completed setup
- Pinpoint where agents get stuck and whats blocking them
- Review fixes prepared for you and publish them with a click
- Watch how those changes improve conversion
Turn agent traffic into revenue.
Try Journeys at tryscope.com
Martin Tonev retweeted
if you sell AI training data, see how you compare: we found 159 companies selling data, RL envs and evals, every fact sourced
plus 38 programs that pay companies for their data: whosellsdata.com
8 of the 14 that pay companies directly publish a dollar range. most of the rest set terms per deal. unknowns are marked and nothing is ranked
the other page: what each program wants, who qualifies and what it offers: whosellsdata.com/buying
missing something, or something wrong? fix it on the site, a person reviews every change
we built this at @Secludy. if you buy, broker or license company data and need the names out before it reaches a lab, dm me
Martin Tonev retweeted
Check out my fluffy AI roommate.
Cute face. 1,000+ tools behind it.
I pasted orthogonal.com/agent-signup into Muse, said āset me up on Orthogonalā, and it handled signup itself.
Now it can access web search, scraping and live data through Orthogonal.
Want your own? Contest details below ā
Use Orthogonal in Muse, Meta's always-on agent.
ā”ļøTo set it up, tell Muse:
set up orthogonal.com/agent-signup
With Orthogonal, Muse can find people, verify emails, pull company data and more, without you signing up for each tool.
Like job search. Muse finds the roles, the recruiters and alumni behind them, and their verified work emails, then keeps looking every morning.
Martin Tonev retweeted
Already started collecting useful data for Vibe Coder Planner with Databuddy, part of the new YC batch.
One thing caught my attention: it separates AI crawlers reading my site from visitors arriving through AI tools.
My dashboard already shows an Applebot request and a robots.txt restriction worth checking. Early days, but I already have something concrete to investigate.
A YC launch I can actually put to work on my own project today.
databuddy.cc/
Excited to announce that @trydatabuddy is part of the YC F26 batch!
Collecting data is easy, understanding it isnāt.
That's why we're building Databuddy, the most comprehensive intelligence platform that combines all of your analytics and context into informed business insights and investigates your product issues as they happen in real-time
If you're tired of spending hours in your posthog dashboards trying to make sense of your data, this is for you
Martin Tonev retweeted
Excited to announce that @trydatabuddy is part of the YC F26 batch!
Collecting data is easy, understanding it isnāt.
That's why we're building Databuddy, the most comprehensive intelligence platform that combines all of your analytics and context into informed business insights and investigates your product issues as they happen in real-time
If you're tired of spending hours in your posthog dashboards trying to make sense of your data, this is for you
Martin Tonev retweeted
Spinnable takes the idea of a marketing department and puts it inside a single SaaS, with AI teammates assigned to specific workflows in the tools your team already uses.
Each teammate has a name, role and personality. You can build out your AI team across GTM, fundraising, customer support and operations.
The team behind it built Spinnable with just 5 humans and 21 AI teammates. Theyāre using the same approach theyāre selling.
As a founder, thatās the part that stands out to me: giving a small team more capacity without hiring for every new workflow.
Comment āTEAMMATEā on the launch post for 50% off your first month.
Martin Tonev retweeted
We built Spinnable with 21 AI teammates and ONLY 5 humans
Now you can scale your team without adding headcount too!
Дomment TEAMMATE below to get 50% off on your first month.
more info š§µš
Martin Tonev retweeted
Building client MVPs is one part of my work. Helping launch them is another.
Iād text Instinct: āCreate a launch video, find launch event guests, and send verified invites.ā
With Orthogonal, it can find the tools and act, all in iMessage.
orthogonal.com/agent-signup
Use Orthogonal in Instinct.
ā”ļøTo set it up, text Instinct:
setup orthogonal.com/agent-signup
Instinct is your personal assistant in iMessage. It knows what you are working on and what matters to you. With Orthogonal, it can find the right tools and get more work done.
Create a launch video, find people for your launch party, and send verified invites out with zero friction.
Martin Tonev retweeted
What if your next marketing campaign started with one instruction?
Cuppa helps turn an idea into content, video, creator outreach, and distribution. For its own launch, it helped put that workflow into action.
If youāre building a product and marketing it with a small team, take a look: cuppa.ai/
Use code BRANDROOM10 for 10% off.
your marketing department now fits in one room
80+ tools on standby. You just talk.
The Brand Room by @cuppa_ai
for 2-person teams and 200-person agencies
p.s. this entire video, the storyboard, and this tweet were built with Cuppa's MCP in Cursor
Martin Tonev retweeted
Iām using Overmind to turn my AI agentsā production data into specialized models I own.
Being able to prepare data, train, evaluate, and deploy in one place fits how I want to build AI products.
Worth checking out if youāre building agents.
github.com/overmind-core/oveā¦
Introducing Overmind. The training platform for agents.
Overmind trained models across biomedical, legal, and engineering tasks beating the frontier and achieving:
⢠7x better accuracy
⢠20x cheaper usage
⢠28x less hallucinations
Train your own: github.com/overmind-core/oveā¦
Martin Tonev retweeted
Replying to @Ross_Quintana
Improving AI coding with vibe planner :
- separated tasks for each stage
- smart predefined prompts for each task
- kanban view
- smart routing for models
- automatic push to github
- soon offer open-source model - so easy tasks will be executed for free for users
Martin Tonev retweeted
If a AI development tool can do for you:
- automated project scoping
- Kanban view of all tasks and prompts
- Routing models for cheaper execution
- keep context and share memory between models and tasks
- use skills optimized to save you tokens
- you put tasks in progress, and they begin executing one by one, and you focus on something more important
- each task is executed when the prev. one is finished and shares the results
- after finish executing automatic GitHub PR is created, ready to merge
and soon offer you an open-source model for FREE for easy tasks in your project plan!
Will you use it?
š¤ Made with AI
Martin Tonev retweeted
AI isnāt missing intelligence. Itās missing follow-through.
A single client email can create hours of research, document preparation, slide building, and context gathering.
Sol handles that work and returns with the result for your approval.
This is the kind of AI agent I actually want.
The obvious is missing.
So we built Sol - hellosol.app
Sol finds the work itself, does it, and comes back for your approval.
Every day in our emails we say "Iāll shareā, "I'll reviewā, "I'll get back" - then repeat the exact same thing to an AI. Why?
Sol finds everything you said youād do & gets them started for you.
It does the research, creates the doc, builds the slides, finds the time, connects the dots across multiple emails, doing everything it takes to get the job done - but doesnāt send, schedule, or share anything until you approve.
Sol runs on its own computer, uses a browser, and has a library of skills that automatically get assigned to the work that needs to get done. No setup. It just starts working.
We've raised $4M from General Catalyst, Nexus Venture Partners, DeVC, PeerCheque, Kunal Shah, and a few others.
Extending early access now.
@generalcatalyst @nexusvp @DeVC_Global @peercheque
@neerajarora @b_jishnu @kunalb11 @miten @RTinkslinger @Rahul_J_Mathur @AkarshS27 @SiddhantD06 @RajatAgarwal167
Martin Tonev retweeted
AI writes a Pull Request.
You ask the same AI to review it.
It finds 7 issues, 2 critical.
Makes zero sense. Zero.






















