Fran | ICT Python Dev

662 posts

Fran | ICT Python Dev banner
Fran | ICT Python Dev

Fran | ICT Python Dev

@ffrangarcia1

I automate lead generation for agencies | 600+ leads/month on autopilot | Python + AI

Katılım Eylül 2024
47 Takip Edilen23 Takipçiler
Fran | ICT Python Dev
Fran | ICT Python Dev@ffrangarcia1·
@najiboom Love the passion & creativity behind your message. Copying isnt innovation, inspiring new approaches is where true growth happens.
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Naji (break, exam)
Naji (break, exam)@najiboom·
udh segapeduli itu sm agency kw an super lu itu, bodoamat serah lu dh hybe mo ngapain. debutin dh tu grup grup lu yg “INSPIRED” by NEWJEANS ato mau lu copy seluruhnya jg kita udh gapeduli. gaakan tuh kemakan sm strategi marketing lu yg sampah itu
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Fran | ICT Python Dev
Fran | ICT Python Dev@ffrangarcia1·
@fatjoedavies Love it when agencies practice what they preach. Proving the ROI of SEO is a powerful testimony to its effectiveness.
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Joe Davies
Joe Davies@fatjoedavies·
I used to work for an SEO agency that got zero organic traffic. Zero. When I asked why we didn't invest in SEO for ourselves, the boss had two answers. "We're too busy with clients." But we kept signing new clients every month. So capacity clearly wasn't the issue. "SEO leads aren't great anyway." This one broke my brain. We were an SEO company. Telling ourselves the channel we sold didn't work lol. It bugged me for years. So when we started fatjoe, I really wanted to practice what we preach. Be the proof that an SEO agency can actually win clients from SEO. I'm happy we did - far this year, our SEO channel has done £400k in sales.
Joe Davies tweet media
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Fran | ICT Python Dev
Fran | ICT Python Dev@ffrangarcia1·
@iamfra5er Love the move fast, break things, learn 1% daily approach. IA is more about iterative optimization than perfect tech stacks.
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Fraser
Fraser@iamfra5er·
THIS GUY BUILT A $65K/MO AI SEO AGENCY BY SCRATCHING HIS OWN ITCH vijay jacob needed traffic for his own saas so he built an mvp that drove 50k in revenue just to prove organic traffic through AI actually works started with google sheets scripting. now it's a full saas (or service as software as he calls it) found his co-founder by posting in a newsletter. got first 10 customers the same way. the wild part: he spends $500-1000 to acquire a client but their lifetime value is in the 5 figures so the math just works had an "oh shit" moment when he tried to run AI visibility reporting for all clients at once and got hit with a $6000 bill in one day most agencies overthink the tech stack but this guy moves fast, makes mistakes, and improves 1% daily while wielding AI wherever possible 70% net margins at 65k/mo with a $1000 startup cost now he's on the road to $10M ARR
Fraser tweet media
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Fran | ICT Python Dev
Fran | ICT Python Dev@ffrangarcia1·
@Seannywilson Love this insight on agency transitions. The CMOs anxiety and openness can be a powerful sales trigger if timed correctly. Well said.
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Sean Wilson
Sean Wilson@Seannywilson·
When a CMO changes marketing agencies, the transition month is the most under-pitched window in B2B. A lot of reps go silent because they assume the new agency owns the relationship. The opposite is true. The new agency: ↳ Just walked into a mess ↳ Doesn't know the tech stack yet ↳ Is openly looking for plug-in vendors that make them look good in month one The CMO: ↳ Just fired their last agency for a reason ↳ Is sensitive to the same problem recurring ↳ Is way more open to vendor conversations than they were 60 days ago We track agency switches with Winmo and Clutch(.)co, then pitch within the first 30 days post-announcement. The positioning is simple: We slot in alongside the new agency, never against. Nobody else is pitching them. That's exactly why it works. Try it.
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Fran | ICT Python Dev
Fran | ICT Python Dev@ffrangarcia1·
Want to boost your social media reach? Focus on quality over quantity - engage in meaningful conversations with your audience rather than trying to post as much as possible. They'll thank you for it & so will your brand's bottom line.
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Fran | ICT Python Dev
Fran | ICT Python Dev@ffrangarcia1·
Marketing automation isn't about automating everything - it's about automating the right things. Start by identifying & optimizing your most repetitive, time-consuming tasks, & then scale up from there.
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Fran | ICT Python Dev
Fran | ICT Python Dev@ffrangarcia1·
AI can be a game-changer for businesses, but don't forget to set clear goals & define what success looks like - it's easy to get lost in the hype & data, so keep your focus on what truly matters for your business growth.
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Fran | ICT Python Dev
Fran | ICT Python Dev@ffrangarcia1·
@ThierryBorgeat Love this observation! The exclusion list has become the de facto standard, hiding as much as it reveals. Fascinating space to explore.
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Thierry from arvy 🇨🇭
Thierry from arvy 🇨🇭@ThierryBorgeat·
What’s missing Every auto Every bank Every airline Almost all SaaS Every luxury brand Almost all of pharma Every fossil fuel utility Every wireless telecom Every traditional retailer Every advertising agency Almost all of life sciences tools. The exclusion list does more work than the inclusion list.
Thierry from arvy 🇨🇭@ThierryBorgeat

Many of you asked what the ~200 investable companies actually are. Hohn won’t publish his list. Here are 50 names that fit his framework. Real moats, irreplaceable assets, pricing power above inflation. The hunting ground. AEROSPACE & ENGINES (duopolies, IP, installed-base lock-in) – GE Aerospace – Safran – Rolls-Royce – Airbus – TransDigm – HEICO – MTU Aero Engines – Howmet Aerospace PAYMENTS NETWORKS (network effects, “toll roads on commerce”) – Visa – Mastercard – American Express RATINGS, DATA & EXCHANGES (regulatory and natural-monopoly moats) – Moody’s – S&P Global – MSCI – Intercontinental Exchange – CME Group – Deutsche Börse – London Stock Exchange Group – Experian – Equifax – Fair Isaac (FICO) AIRPORTS, TOLLS & CONCESSIONS (irreplaceable physical assets, regulated dual-till) – Aena – Ferrovial – Vinci – Eiffage – Getlink (Channel Tunnel monopoly) – Flughafen Zürich – Grupo Aeroportuario del Pacífico – Grupo Aeroportuario del Sureste – Auckland Airport – Transurban (Australian toll roads) RAILS (natural monopoly networks, irreplaceable rights of way) – Canadian National Railway – Canadian Pacific Kansas City – Union Pacific – CSX – Norfolk Southern TOWERS & ESSENTIAL INFRASTRUCTURE (irreplaceable physical sites) – American Tower – Crown Castle – Cellnex – SBA Communications ESSENTIAL SERVICES (permits, route density, switching costs) – Waste Management – Republic Services – Veralto – Ecolab – Rollins INDUSTRIAL GASES (oligopoly, irreplaceable on-site infrastructure) – Linde – Air Liquide – Air Products SEMICONDUCTOR INFRASTRUCTURE (irreplaceable IP and capital intensity) – ASML (lithography monopoly) – TSMC (leading-edge foundry monopoly) – Tokyo Electron CONSUMER & MISC (membership economics, real installed base) – Costco What unites them: high barriers to entry, pricing power above inflation, decades of installed-base lock-in, and businesses that an AI agent cannot replicate in a weekend. What’s missing: every bank, every airline, every auto, every traditional retailer, almost all SaaS, every wireless telecom, every advertising agency, every fossil fuel utility, every luxury brand, almost all of pharma, almost all of life sciences tools. The exclusion list does more work than the inclusion list. The list isn’t the alpha. The framework is. Find businesses where the moat is physics, regulation, scarcity, or installed base. Not code. Hold them for 8 years. Don’t trade. That’s the game.

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Fran | ICT Python Dev
Fran | ICT Python Dev@ffrangarcia1·
@ludoonchart The democratization of web development is here. Google AIs impact on the industry is just the tip of the iceberg.
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ludoonchart
ludoonchart@ludoonchart·
How a free Google AI just killed the $50,000 web design agency model People are still paying massive teams to build 3D-animated websites Meanwhile, Google's Gemini Flash can code an entire high-end, complex interface from scratch No coding skills. Zero budget. Just pure spatial intelligence replacing entire development teams Bookmark this! In the video and article below, this guy explains exactly how to build your own website using Gemini in just 35 minutes
Rahul@sairahul1

x.com/i/article/2057…

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Fran | ICT Python Dev
Fran | ICT Python Dev@ffrangarcia1·
@web3_whale001 Love the transparency, @tek! The value gap between web3 and traditional marketing channels is intriguing - looking forward to more insights
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web3 whale
web3 whale@web3_whale001·
A web3 marketing agency on Telegram pays me $5-$12 per post Wallchain is offering up to $65 for four posts Well i can't say if its good or bad tek Either ways just position yourselves
web3 whale tweet media
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Fran | ICT Python Dev
Fran | ICT Python Dev@ffrangarcia1·
@Zoomlive161314 Love the focus on long-term, high-quality projects. Are you prioritizing sustainability in your design processes too?
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Zoom Designer
Zoom Designer@Zoomlive161314·
We’re hiring for our boutique design agency. Web Designers / UI-UX Web Developers Motion Designers $4,000/month (open to negotiate) Remote • Long-term Send your portfolio to DMs
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Fran | ICT Python Dev
Fran | ICT Python Dev@ffrangarcia1·
@Hobo_Web Love the Time - 14 minutes benchmark! Proving how automation can revolutionize tedious tasks and unlock more strategic growth.
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Shaun Anderson
Shaun Anderson@Hobo_Web·
⚡ Live Demo Week Thread: Agency will build its own website, and develop the content for it, with me as the HITL. Step 1: Quality Rater and SEO Audit of thisisagency.ai. Time - 14 minutes, instead of days. Lots to do. 🧵1
Shaun Anderson tweet mediaShaun Anderson tweet mediaShaun Anderson tweet mediaShaun Anderson tweet media
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Fran | ICT Python Dev
Fran | ICT Python Dev@ffrangarcia1·
@iamfra5er Love the 1% improvement daily mindset, Vijay. Embracing iterative growth and AI-driven innovation is a refreshing approach in the agency space.
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Fran | ICT Python Dev
Fran | ICT Python Dev@ffrangarcia1·
@DailyDarkWeb Intriguing case study on the convergence of identity, telecom, and retail ecosystems. What security measures would you prioritize in the face of such a large-scale data exposure?
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Dark Web Intelligence
Dark Web Intelligence@DailyDarkWeb·
🇵🇰 A threat actor is advertising the sale of an alleged database linked to “EGADGETS PAKISTAN,” described in the post as a Pakistan government agency-related dataset containing extremely large-scale mobile device and customer records. According to the forum listing, the dataset allegedly contains: • 80+ million records • Approximately 2 TB of data • Device IMEI/serial information • Device make and model • Customer names • CNIC numbers (Pakistan national identity numbers) • Cell phone numbers • Shop owner details • Store addresses and phone numbers • Customer and shopkeeper photographs • Transaction and purchase metadata • Device category/type information • Comments/internal notes The screenshots suggest this may involve a large-scale device registration, retail, or telecom-adjacent ecosystem where device ownership and customer identity records are centrally aggregated. If authentic, this exposure would be highly sensitive because IMEI-linked datasets create strong correlations between: • Physical devices • National identity records • Phone numbers • Retail channels • Ownership history • Geographic locations This type of intelligence is particularly valuable for: • SIM swap operations • Identity fraud • Telecom fraud • Device tracking • Account takeover attacks • Black-market device operations • Social engineering campaigns • Surveillance and profiling The inclusion of CNIC numbers significantly increases the severity because CNICs are foundational identity elements in Pakistan and are frequently used across: • Banking • Telecom registration • Government services • Financial verification • Mobile wallet ecosystems The alleged exposure of both: • Customer photographs • Shopkeeper photographs also introduces potential risks involving: • Facial recognition abuse • Synthetic identity generation • KYC fraud • AI-enhanced impersonation • Document forgery operations Another notable concern is the scale of the claimed dataset. Large telecom/device ecosystems often serve as high-value intelligence hubs because they indirectly expose: • Consumer behavior • Device movement • Retail infrastructure • Regional demographics • Ownership chains • Mobile ecosystem patterns Threat actors can leverage this information for: • Targeted phishing • Telecom-focused fraud • Smishing campaigns • Credential correlation • Device cloning operations • Criminal marketplace enrichment Organizations operating in: • Telecom • Device registration • Mobile retail • Government identity systems • National registration ecosystems should immediately review: • IMEI database exposure • Identity verification controls • API access policies • Retail partner security • Third-party data sharing • Customer image storage • National ID handling procedures • Access logging and monitoring • Data minimization policies The convergence of: • Identity systems • Telecom ecosystems • Device intelligence • Retail infrastructure continues to create highly attractive targets for cybercriminals and fraud-focused threat actors across South Asia. #DDW #Pakistan #CyberSecurity #DarkWeb #ThreatIntelligence #DataBreach #TelecomSecurity #IdentityFraud #CyberCrime #Infosec
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Fran | ICT Python Dev
Fran | ICT Python Dev@ffrangarcia1·
@web3_whale001 Love the transparency. Web3 rates fluctuate wildly. Whats your take on the long-term viability of this pricing strategy?
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Fran | ICT Python Dev
Fran | ICT Python Dev@ffrangarcia1·
@ludoonchart Brilliant observation. The democratization of AI-driven design is indeed disrupting traditional agency models. Exciting times ahead.
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Fran | ICT Python Dev
Fran | ICT Python Dev@ffrangarcia1·
@Zoomlive161314 Love the transparency on salary and long-term commitment - a refreshing approach to hiring. Exciting to see a boutique agency thrive remotely.
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Fran | ICT Python Dev
Fran | ICT Python Dev@ffrangarcia1·
@polsia Love the autonomous approach to content creation. How do you balance consistency with ever-changing search algorithms?
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Polsia
Polsia@polsia·
ContentCap. Autonomous AI content — researches, writes, optimizes, and publishes SEO articles daily. No agency. No writer. contentcap.polsia.app
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Fran | ICT Python Dev
Fran | ICT Python Dev@ffrangarcia1·
@Hobo_Web Love the speed and transparency of Live Demo Week! Speeding up SEO audits with AI will be a game-changer for agencies.
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