Загрузка видео...

Не удалось загрузить видео

На главную

ScreenshotOne is at ~$36K MRR and still growing. I run a developer tool, and despite all the predictions from big accounts and influencers on X, I still see demand. New customers keep subscribing and are happy to pay. What I am testing now: 1. Launched a hosted MCP server...

25,097 просмотров • 4 дней назад •via X (Twitter)

Комментарии: 57

Фото профиля Catalin
Catalin4 дней назад

> I run a developer tool, and despite all the predictions from big accounts and influencers on X, I still see demand. New customers keep subscribing and are happy to pay. Seen the same at Documenso. Glad Screenshotone is doing well. 👏

Фото профиля Dmytro Krasun
Dmytro Krasun4 дней назад

Yes? 🔥 Thanks for sharing.

Фото профиля Daniel
Daniel4 дней назад

i'm still a customer :-)

Фото профиля Dmytro Krasun
Dmytro Krasun4 дней назад

I appreciate it a lot! Thank you!

Фото профиля Stas Klymenko 🇺🇦
Stas Klymenko 🇺🇦4 дней назад

Congrats! Happy to see the app is working and growing. Still remember the time of some of the first steps you posted here.

Фото профиля Dmytro Krasun
Dmytro Krasun4 дней назад

🫶

Фото профиля Pramod
Pramod4 дней назад

amazing Dmytro! keep growing 🚀

Фото профиля Dmytro Krasun
Dmytro Krasun4 дней назад

Thank you! How are you doing?

Фото профиля Pramod
Pramod4 дней назад

Was off SaaS for sometime. Getting back slowly :) Happy to see you so good Dmytro!

Фото профиля Matt
Matt4 дней назад

AI agents will sky rocket this business I can already see it happening

Фото профиля Dmytro Krasun
Dmytro Krasun4 дней назад

Thanks! I hope so, but let's see. Only time can tell, need to test.

Фото профиля ibo
ibo4 дней назад

rare to see someone actually building and sharing the process very calmly, do more videos pls

Фото профиля Dmytro Krasun
Dmytro Krasun4 дней назад

Damn... 🥹 Thank you!

Фото профиля Matt Crawford
Matt Crawford4 дней назад

Great stuff, Dmytro!

Фото профиля Dmytro Krasun
Dmytro Krasun4 дней назад

🙏

Фото профиля Saïd Aitmbarek
Saïd Aitmbarek4 дней назад

such an inspiring journey man!

Фото профиля Dmytro Krasun
Dmytro Krasun4 дней назад

Thank you!

Фото профиля Edoardo Stradella
Edoardo Stradella4 дней назад

That's roughly +10% MRR in a couple of months, you're killing it!

Фото профиля Dmytro Krasun
Dmytro Krasun4 дней назад

Yes! Thanks! But it is because the number is small.

Фото профиля MixRoute AI
MixRoute AI4 дней назад

Clients will always pay for great products.

Фото профиля Dmytro Krasun
Dmytro Krasun4 дней назад

I don’t know. Let’s see?

Фото профиля Soheil
Soheil4 дней назад

Wow good job man

Фото профиля Dmytro Krasun
Dmytro Krasun4 дней назад

🙏

Фото профиля Kyle Tse
Kyle Tse4 дней назад

hosted mcp is the bit i'd actually use. when i wrapped a screenshot api myself the oauth dance ate a whole afternoon before any agent could call it

Фото профиля Dmytro Krasun
Dmytro Krasun4 дней назад

What screenshot API did you use?

Фото профиля Kyle Tse
Kyle Tse4 дней назад

no paid one, it was my own playwright script wrapped as an api. what makes people pay for yours instead of doing that, the cookie banners and lazy loading stuff or just not wanting to run browsers?

Фото профиля Tris
Tris4 дней назад

I'm so happy to read this! You deserve it

Фото профиля Dmytro Krasun
Dmytro Krasun4 дней назад

Thank you 🫶

Фото профиля Cyril
Cyril4 дней назад

On which platforms are you trying ads ?

Фото профиля Dmytro Krasun
Dmytro Krasun4 дней назад

DMed.

Фото профиля Cyril
Cyril4 дней назад

👍

Фото профиля mrgadget
mrgadget4 дней назад

interesting, so what can ScreenshotOne do? The mrr number is pretty. good!

Фото профиля Tom Siwik
Tom Siwik4 дней назад

but levels said everybody can create this easy peasy tool for themselves. jk. glad you created a solid product that people enjoy using.

Фото профиля Dmytro Krasun
Dmytro Krasun4 дней назад

😆 Yes, some customers do churn due to this reason, by the way. They build themselves. But I do have more customers that sign up and don't want to spend time on that. I would say it is early too tell, but I am +/- optimistic today.

Фото профиля Tom Siwik
Tom Siwik4 дней назад

ease of use, established resiliency, thought out api, proven quality... all things you need to work on when creating things "yourself". ofc for some this is worth a subscription. I don't think this'll change any time soon. even more optimism :)

Фото профиля Dmytro Krasun
Dmytro Krasun4 дней назад

💯

Фото профиля Dmytro Virych
Dmytro Virych4 дней назад

agents as a new customer segment is a sharp bet for a screenshot API. are those ~10 MCP connections on paid plans yet?

Фото профиля Dmytro Krasun
Dmytro Krasun4 дней назад

Didn't check yet. But I believe, at least one, yes.

Фото профиля Tiro Aeternus
Tiro Aeternus4 дней назад

Wow, the interactive demo is slick, I thought it's just a video.

Фото профиля Dmytro Krasun
Dmytro Krasun4 дней назад

Seriously? 🥹 Thank you!

Фото профиля Tiro Aeternus
Tiro Aeternus4 дней назад

Absolutely!

Фото профиля Ulises
Ulises4 дней назад

The MCP server move is smart — I'm also implementing agents and that should be picking up a whole new kind of buyer. All devs should be moving more their SaaS into AI Agents.

Фото профиля Muzammil Bashir
Muzammil Bashir4 дней назад

@DmytroKrasun how is system reliability? You wish you could use some help?

Фото профиля Johan
Johan4 дней назад

Can you share anything about how your MRR breaks down across your different plans, percentage-wise?

Фото профиля Brjan | AI Builder
Brjan | AI Builder4 дней назад

hitting $36K MRR shows that real demand exists despite all the noise

Фото профиля Shay Jeremy
Shay Jeremy4 дней назад

Hey bro this is really impressive 🔥🔥. Would love to connect with you

Фото профиля Shamshudein
Shamshudein4 дней назад

Love seeing you defy the "no demand" predictions for dev tools! $36K MRR is solid proof. What's been your most effective channel for finding those new, happy customers?

Фото профиля Stas Kulesh
Stas Kulesh4 дней назад

Good stuff man.

Фото профиля Cryptoartmaster
Cryptoartmaster4 дней назад

That hosted MCP server is a smart move — devs I know are already wiring tools into Claude/Cursor workflows. $36K MRR proves the "AI will kill SaaS" crowd wrong, it's just shifting how products get accessed. Curious how the MCP…

Фото профиля EDDY VU
EDDY VU4 дней назад

Huge respect for ignoring the timeline noise and proving that real utility always finds paying customers.

Фото профиля Hey Detya
Hey Detya4 дней назад

$36k MRR on a screenshot API is wild. the MCP move feels like the right next bet.

Фото профиля JΞr₳h
JΞr₳h4 дней назад

paid users > vanity metrics. congrats.

Фото профиля Oleg
Oleg4 дней назад

my scheduled agents call a paid search api every day. none of them picked it... i connected it once and they never asked

Фото профиля Max Ma
Max Ma4 дней назад

Wow, what a coincidence! I researched your site yesterday and found the founder on X. Followed immediately.

Фото профиля Thomas
Thomas4 дней назад

those early mcp connections might matter more than the ad spend

Фото профиля Povilas Korop | AI Coding & Laravel Educator
Povilas Korop | AI Coding & Laravel Educator4 дней назад

Such videos are much better and useful than Opus-one-shotted animated slide decks.

Фото профиля Ian Wootten
Ian Wootten4 дней назад

Glad to see the MRR continuing to go up and to the right. 📈

Похожие видео

LLM Wikis are being slept on. I argue that creating knowledge bases with LLMs or coding agents is one of the most valuable applications of AI today. It's about being intentional in building and scaling your intelligence stack. To showcase this, I wanted to share an LLM Wiki I have built over the last couple of months. It's called PaperWiki, and I use it across all my research workflows, along with my research agents. In fact, I also use it to curate papers I share with my communities, newsletter, and on X. The PaperWiki is updated regularly with automations, so I basically have agents on a loop maintaining it. All the entries are ingested from different sources and stored in a vault (Obsidian) and further indexed using qmd. And then further presented via an HTML artifact. So all of it is easily accessible to all my agents and easily searchable through full-text search and rich semantic search. The structure of the wiki has proven significantly useful to start interesting and exciting cutting-edge research projects with my research agents (from building tiny and more efficient gpt/difussion llms to building out SoTA harnesses and memory systems). It turns out that agents love markdown files and can more easily navigate the papers given the rich metadata structure of the wiki. I am just getting started on this, but it's clear to me that we should all be experimenting with LLM Wikis. Here's why: Building LLM knowledge bases gets you into the habit of leveraging AI outputs in all kinds of creative ways. It's the good kind of tokenmaxxing we should all be pushing for. LLM Wikis can be maintained automatically in a loop. I use an automation that updates the wiki every day based on papers I curate. The curation is another automation I run in a loop (with a bit of human in the loop), so I get to build on all my previous knowledge and expertise, and all of it compounds the deeper the integration/layers. One interesting result of this process is that I feel like I can better spot high-quality papers and remove noise more easily. Social media could never solve that. And most paper aggregators use metrics I simply don't trust. I like that agents can help with the noise vs. signal problem. This is important for research. Lots of people consider agents to produce mostly slop. But it doesn't have to be that way. Careful curations, prompts, automations, verifiers, and human-in-the-loop can produce some astonishing results. And you really don't need frontier models for this. I use a combination of frontier models (opus-4.8) and open-weight models (deepseek-v4-flash) to maintain this. An exciting future work (we are working on this DAIR.AI) is to tune specialized models on top of this to allow LLMs to quickly understand cutting-edge research ideas and can better conceptualize research strategies that further accelerate scientific research agents. I plan to open-source a bunch of this work, including the artifact, but this is currently work in progress, and I was excited to share some thoughts as I continue working on it. Sharing more as I go. Stay tuned!

elvis

55,747 просмотров • 3 месяцев назад

$VET, #VeFam. In this video, I demonstrate in less than 4:30 minutes how to create an AI agent on veworld(.)ai. Watch me build a Mr. Robot Monologue Writer agent. If you haven't seen Mr. Robot, I suggest you watch it! This is just early bird access. The options for tools and integrations and such are limited, but what exists is already working quite well. The process is easy peasy. The UI is simple, but effective. It asks you for... 1. Role & Purpose 2. Voice & Style 3. Behavior 4. Rules 5. Tags 6. Avatar image 7. Welcome text. 8. Test drive before publication. ... and that's about it. This free version lets you have at most 3 agents, I am told. This implies that there is also a paid version. I'm all for it, because it sounds to me like VeChain is ready to do real business! I am providing feedback to Jérôme Grillères in order to help improve VeChain's AI agent marketplace. I didn't have to set up anything. The web UI is all I needed! The agent is running on Claude Sonnet 3.7. I did not have to provide a Claude API key. We seem to be riding along on VeChain's. I hope there'll be a choice for more models, including ChatGPT, in the future. This is so user friendly, that I can easily imagine that this would take off in a big, big way. I'm definitely building on this, when it goes into production with full features. Even if my own AI agents aren't successful, then I'm sure others' will be. And that means the $VET / $VTHO / $B3TR flywheel is going to take off in a big, big way. I, for one, am here for it. (See the reply below for the listing of the AI agent I just created.)

₿lackthorne AI

16,741 просмотров • 3 месяцев назад