Horizon Dev

@chabi_tech The unglamorous industties are where the real automation wins hide. Dental clinics and distributors still run on spreadsheets and manual data entry that nobody has questioned in 10 years.

Soy Chabi. Developer freelance especializado en automatización con IA. Tengo clientes de todo tipo: clubs de pádel, clínicas dentales, distribuidores... Negocios con problemas reales.

10 años dirigiendo clubs de pádel. Developer full stack desde hace 8. Ahora construyo automatizaciones con IA para negocios reales. Nunca pensé que los tres se conectarían. Pues lo hacen. Y voy a contarlo todo aquí. 🧵

@adventusconsult The tech piece is usually what gets underfunded because it looks like a cost until something breaks. Most operational fragility we see in small businesses traces back to manual processes nobody ever owned the decision to replace.

Small business resilience in 2026 = Tech + Financial discipline + Agile teams + Risk planning Are you ready? Read our guide on building a stronger, future-ready business: 👉 adventus-consult.com/articles/bizsm… #smallbusinessmalaysia #businesstips #resilience #entrepreneurship #sme

@gloria002 @HooterTrades @DivesTech @grok The pattern is real. The tools keep getting more accessible but non technucal operators still need to know what outcome they are solving for or the implementation just becomes an expensive habit nobody questions.

@HooterTrades @DivesTech @grok If you watch the latest AIPcom, you see the first ‘small’ business CEO who implemented PLTR without a FDE. And he is no tech-person. This reminds me of the earlie 90’s, when we received the windows-cd, installed it and started working.

We believe the take that Anthropic is eating PLTR's lunch, (amplified by Michael Burry's now-deleted post on X earlier today), is the wrong take and fictional narrative (in our view) as Palantir is at the epicenter of leaders in the AI Revolution. Core AI winner and tech leader🐂

@TranterUS The bottleneck is almost never the tech. It's getting founders to stop doing the thing manually that they built their whole operation around. Once that changes the leverage is obvious.

@tothjames Same experience rebuilding an aviation reporting system. The rule held: if it paused for a human decision at any point, we had not finished designing the logic yet.

Every scheduled automation I run has one rule: it runs fully autonomous or it doesn't run. No pausing for human input. No "waiting for approval." Either the system has enough permission to finish the job, or I redesign it until it does. That's the difference between a workflow that scales and one that becomes a bottleneck.

@digcydesign The metric we use with clients: if the person running the workflow needs to understand how it works, it is not finished yet. The goal is to make the complexity disappear entirely.

AI workflow tools aren’t just about automation. They’re about simplifying complexity. Here’s how to design them right 👇 #AIUX #WorkflowDesign #ProductDesign #UIUX

@bendee983 The ones who actually understand why the AI output works end up sharper than those who just prompt their way through problems. That gap between using a tool and understanding it is where human ingenuity still compounds.

Unpopular opinion: The successful companies of the future are those that hire and invest in junior developers, even if it seems that AI coding agents can perform the same functions with less friction and cost. The value of human capital and human ingenuity cannot be captured in productivity metrics. Human intelligence will always come out on top, and in the next few years, those junior developers will turn out to be more valuable than the most advanced LLMs, even if they remain subsidized.

@amosrazi @tibo_maker The real unlock is when a 3 person team can ship what used to take 10. The bottleneck stops being headcount and starts neing how fast you can make decisions.

The AI tools point is the driver for all of this IMO. Till recently, founders had to get the funding to really get something rolling. Hire a team of 3-4 developers to get V1, and build a growth team of 3 people. All of this costs money. Now, a talented team of 3 can get the same output that a company of 10 got only 2-3 years ago.

more founders are choosing bootstrapping over VC - liquidity events now take 14 years on average. up from 7. that's your entire 30s waiting for an exit that might never come. - bootstrapped startups are 3x more likely to be profitable within 3 years. VC-backed companies optimize for growth metrics, not money in the bank - preferred shares mean founders often walk away with nothing. even when the company "succeeds," VCs get paid first. sometimes that's all there is - bootstrapped companies spend 1/4 of what VC-backed startups spend on customer acquisition and grow just as fast. capital efficiency wins - VCs can force a sale whenever it suits them. drag-along clauses give them that power. you built it, they decide when to sell it - fundraising takes 4-5 months of full-time work. that's 4-5 months not building your product or talking to customers. most founders who reach traction don't need VCs anymore by then - AI tools let solo founders build what used to require a 10-person team. the capital requirement that made VC necessary is disappearing - 38% of startups now launch without external funding. up from 26% in 2019. the shift is already happening - most VCs are not operators. they can pressure you to grow but can't help you build. the "value add" is often just intros to other portfolio companies - VC money outside of AI has dried up. if you're not building AI, you're fighting for scraps anyway - a $10M business you own 80% of beats a $100M valuation where VCs control the outcome. math is math - the ZIRP era is over. cheap money inflated VC activity for a decade. that's not coming back - founders are getting ousted by their own boards. the company you built becomes a job you can be fired from - VC turns you into a middle manager of your own company. board meetings, investor updates, formal reporting. you didn't quit your job to get another boss - the pressure to hit arbitrary growth targets breaks people. chasing 3x year over year because your investors need it, not because your business needs it - you stop building what customers want and start building what looks good in a pitch deck. that's how products die - VCs funded hundreds of AI startups in the last few years. most are already dead or irrelevant. the foundation model companies just absorbed their use cases - when funding dries up, VC-backed companies panic. bootstrapped companies just keep going. you're already used to operating lean. you started a company for freedom. VC often takes that away if the business feeds your life and you control it, why give that up?

@ennycodes @code_codeforge The best ones I have worked with push back on the spec before writing a single line. A developer who tells you the approach is wrong upfront is worth more than three who just execute and say nothing.

@code_codeforge I don’t hire average developers 🤭

Should I send my resume

@aparanoidbw @Alph4betSoup For web UI testing we lean on Playwright with Python and trigger runs through GitHub Actions until the pipeline complexity justifies something heavier. Cron plus a webhook to a lightweight API handles most scheduling needs without adding Jenkins overhead.

@Alph4betSoup You had me at automate. I automate tests for web UIs for a living and maintain CI piplelines. Would love to hear his high level approach. Web scraping? Opening an app and checking? Cron job? Or Jenkins build? And maybe any names of tools he'd use. Just high level stuff.

Recently bf said (unprompted) "you know, I can make you something that sends you a notification every time a privacy policy changes" and I nearly cried. Date a nerd, ladies. Its something else, different levels of 🥰

@SankettheDEV The BeautifulSoup line hits a wall fast on JavaScript rendered sites. Swapping to Scrapy with Playwright on heavier projects drop[ed our production failure rate significantly across 50+ scrapers.

Python + Pandas-Data Manipulation Python + Scikit-learn →ML Engineering Python + TensorFlow →Deep Learning Python + Matplotlib →Data Visualization Python + Seaborn→Advanced Charts Python + BeautifulSoup-Web Scraping Python + Selenium → Browser Auto 1 lang.♾️ leverage.

@Ayushpddr The Doer to Manager switch is the one most founders stay stuck on longest. Hard to build a team around a role you never fully hand off.

3 Roles you need to constantly switch b/w while scaling a startup 1/ Doer 2/ Manager 3/ Innovator

@LisaBro18888088 @whartonknows The pattern we see most: founders automate or hire before they know what actually works, then scale a broken process at speed. The experimentation phase feels slow until you watch someone skip it.

Scaling too fast can kill a startup. New research shows why patience, experimentation, and a clear strategy are more reliable for long-term growth than chasing early hype. @whartonknows #Startups #BusinessGrowth #Entrepreneurship hubs.li/Q0474vWC0

@TickleTasksSol The Remote Deputy model just relocates the bottleneck. Until a system handles the request without any human in the chain, the tax never actually goes away.

If your team asks a 'quick question,' you've already failed. Every ping is a Sync Tax: a penalty for systems that rely on your brain. The Remote Deputy model operates in silence. Stop being the human API for your business. #OperationalSilence #SyncTax #Founder #Scaling

@SarcasticPyDev @__Phonix Most honest take on this I have seen in a while. n8n handles a lot but the moment you need custom data transforms or real edge case logic you are writing Python anyway.

@__Phonix دیگه از این نمیشه به no code و low code نزدیک تر شد. مسئله اینه که تمام مشکلات رو حل نمیکنن جفتشون. و این کار هم ربطی به اون موارد نداره. اگر داشت ما با داشبوردایی مثل simulink و n8n و outsystems و anvil کارمون در اومده بود و نیاز نبود کد رویو کنیم

فلوی من دقیقا همین شکل بود و ۲ ماه طول کشیده بود دیزاین و تکمیلش کنم و مثل آدم کار کنه. تقریبا ۳-۴ ماه بود که مثل بچه های خوب کار میکرد (وقتی با این اوضاع نت بهش دسترسی داشتم) فلوی بسیار ساده و عالی ای هست اگر advisor و executor درست steer شده باشن.

@DdUSNA21 @Akintola_steve No code is a solid start but the ceiling hits fast when clients need custom logic, real APIs, or data processing at scale. Those fundamentals matter the moment you hit that wall.

@Akintola_steve Si. Los cursos de HTML, CSS & JS estan muy sobre-valorados siendo totalmente sinceros. Ni en la universidad te los enseñan, porque es algo que se aprende rapido con el tiempo sin tanto esfuerzo. Y siendo sinceros con las herramientas Low Code & No Code para Front-End ya ayudan

Even if it sounds harsh to say, one candid piece of advice I’ll give you is this: you’re wasting your time.

@erdenebatt True up to a point. Every no code platform has a ceiling and when clients need custom data pipelines, serious scraping, or real AI models, you still end up writing Python.

Код бичихгүйгээр бизнес эхлүүлэх нь реалти. Тогтсон no-code, low-code платформууд бизнесийг хурдан эхлүүлэхэд тус болдог. Вебсайт, мобайл апп, автомат процесс гэх мэт үйл ажиллагааг маш хялбархан бий болгох боломжтой болжээ. #Tech #NoCode #Business

@nguyenthieutoan @autom8my The code node is where n8n stops being a low code tool and starts being real engineering. Once you use it you realize most other platforms were capping you withiut ever saying so.

@autom8my 100% agree. The learning curve is real but it pays off fast. Once you understand how data flows between nodes, you start seeing automation possibilities everywhere. The code node especially opens up things no low-code tool can match.

n8n takes time to learn. Worth it. Visual logic plus custom code nodes lets you build automations Make and Zapier can't touch. #n8n #Automation

@buzzedison Building to profitability before raising is underrated as a negotiating move. You stop taking money out of desperation and start taking it on your own terms.

Egypt's Lucky closes $23M Series B after hitting profitability and now targeting North Africa neobank Egyptian consumer credit startup Lucky has closed a $23 million Series B, but what makes founder Ayman Essawy's story remarkable is what came first: profitability. Founded in 2019, Lucky built a cashback, instalment, and flexible financing platform for Egyptian consumers. The company tripled its activity in 2025 and achieved profitability by year-end before approaching investors. The round, combining equity and debt from Disruptech Ventures, DPI Venture Capital (Nclude fund), Suez Canal Bank, and OneStop Capital, will fund Lucky's expansion into North Africa and its drive toward a full neobank licence. In a continent where founders often feel pressured to raise early and spend fast, Lucky's "profitable first, raise later" playbook is becoming a quiet template for sustainable growth. Source: technext24.com/2026/04/07/egy…

@Konnor_Andersen The agentic support piece is where most founders underestimate the leverage. Automating lead qualification and follow up sequences frees you to focus on closing, which is the one thing that actually has to be you in the early stages.

During the founder led sales chapter of your startup, if you combine your network for warm intros, building in public for early inbounds, and agentic support you can land those first few customers in order to start proving out for GTM model to hire those first few people!

As a technical founder, managing, tweaking, and training agents to help your early GTM efforts will feel much more natural than managing junior GTM team members!