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7-Day App, Meta/Reddit Growth
A detailed walkthrough of building multiple apps rapidly, learning from failures, and using Meta and Reddit ads to achieve initial user growth and sales.
** NOTE: I may not qualify as per your description!! - I’m not a technical person - I understand how the app was built, the technologies used, and the rough framework, but I have my CTO in San Francisco and our team of 3 devs in Sri Lanka who know the exact info! I can walk through very openly how it’s built at a high level, but don’t know the nitty-gritty. Based on your description, I likely won’t qualify, so don’t hesitate to exclude me !! I am not technical, I can walk through what we did technically at a high level but that’s the most of it. I just thought if I was at this event, this would be an interesting thing to learn. **
I would love to present the backstory of how we built 6+ apps, they all failed but then from that, we learnt so much to get to the point where we were able to build a fully functional SaaS within 7 days. We broke each app that we built into repeatable frameworks for auth, the app logic itself, hosting, db, etc. so that we could get apps live within 2-3 days to test them. We built so many apps here that all failed (we may go back to them!), including, niyoz.co,
focusgate.io,
inboxclarity.io,
fubuu.com,
dabu.ai,
padelbuddy.ai,
grammaticgenius.com etc.)
From this, we spent 2-3 months doing them, and then we failed so much, we came up with a repeatable framework where we could launch apps super quickly… within 48-72 hours to get a fully functional app.
Then we optimised our team around this, where we hired 1 full-time team member to just work on the logic / app of softwares that we were building, then we hired another full-time team member to only work on the front-end and design, and we had our senior engineer working on only refining the system where we can launch apps faster and faster.
We did this, and launched so many apps that all failed, technically they were fine, but I failed on the marketing side… until, we built phonicsmaker.com that gave me a lot of confidence in the app.
So I pushed myself to sell it, I started off with reddit ads, just keeping it super basic and simple, and saw, we got a signup! then tried meta ads, and saw that we were getting signups for ridiculously cheap ($15-20 free 7-day trial start), ($3-$5 cost per sign up).
And that’s been working really well, we’ll see how it goes
–» in the presentation, I would love to just talk about how we did it super fast, from failing, and how the ads/marketing side went where I can share my screen as I go through the ads manager on meta/reddit and the ad creatives that I made using the new 4o image gen, just how I went to market.
AI instantly generates decodable phonics readers aligned to specific phonemes and curricula.
Full-stack team executes rapid, end-to-end software solutions and AI MVPs.
- GeminiGoogle's natively multimodal AI model: understands and operates across text, code, audio, image, and video.Gemini is Google's most capable and general AI model, engineered from the ground up to be natively multimodal: it seamlessly understands and combines information across text, code, audio, image, and video inputs. The technology is optimized for flexibility, running efficiently on everything from data centers to mobile devices. It is deployed in three key sizes: Ultra (for highly complex tasks), Pro (for broad scaling), and Nano (for efficient on-device tasks). Developers access this power via the Gemini API to build next-generation applications.
- RunwayRunway is the generative AI platform pioneering text-to-video and multimodal content creation for filmmakers and creative professionals.This is the premier AI video platform, built for professional-grade film and content creation. Runway's flagship Gen-4 model executes text-to-video, image-to-video, and video-to-video generation with unprecedented control. The platform integrates a full suite of AI magic tools: use Aleph for in-video object manipulation or Act-Two for advanced motion capture. Backed by investors like Google and Nvidia, Runway is actively used by Hollywood studios, accelerating production pipelines and enabling new forms of visual storytelling.
- FluxFlux is the CNCF Graduated project: the definitive GitOps toolkit for continuous, progressive delivery on Kubernetes.Flux is the GitOps engine that automates your application deployment and cluster configuration, ensuring your Kubernetes cluster state always matches the source repository. This CNCF Graduated project integrates directly with your existing infrastructure (GitHub, GitLab, Bitbucket) and OCI artifacts. It provides a robust, auditable, and traceable path for every change: simply commit to Git and Flux handles the reconciliation. Deploy with confidence, manage complex, multi-tenant environments, and eliminate configuration drift using this proven automation platform.
- NodeNode.js is a high-performance JavaScript runtime built on the V8 engine for executing scalable network applications.Ryan Dahl launched Node.js in 2009 to rethink server-side concurrency. It utilizes an event-driven, non-blocking I/O model to manage thousands of concurrent connections on a single thread. The system runs on Google's V8 engine (C++) and provides access to npm (a registry with over 2 million packages). Companies like Netflix and LinkedIn use it for its speed and scalability: it remains the top choice for real-time data streaming and microservices.
- PythonPython: The high-level, general-purpose language built for readability, powering everything from web backends to advanced machine learning models.Python is the high-level, general-purpose language prioritizing clear, readable syntax (via significant indentation), ensuring rapid development for any team . Its ecosystem is massive: use it for robust web development with frameworks like Django and Flask, or leverage its power in data science with libraries such as Pandas and NumPy . The Python Package Index (PyPI) provides thousands of community-contributed modules, offering immediate solutions for tasks from network programming to GUI creation . The language is actively maintained by the Python Software Foundation (PSF), with the stable release currently at Python 3.14.0 (as of November 2025) .
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