Ideavize AI
AI to generate and build real tech ideas
116 followers
AI to generate and build real tech ideas
116 followers
Ideavize AI helps you generate deep-tech ideas and turn them into real prototypes—fast. Unlike tools that only brainstorm, we validate ideas with real market signals and give you step-by-step build plans, relevant courses, ready-to-use code, and AI-powered prompts to start building instantly. Less guessing, more building. From idea to prototype—all in one place.
@bapuji_kanaparthi This feels very practical clear focus on validation and execution, not just ideation.
@bapuji_kanaparthi Hi Bapuji, congrats on the launch. How do you deal with idea validation? what market signals are you meaning in the blurb?
@zolani_matebese Hi, thank you—and appreciate the question.
By idea validation, we mean grounding ideas in real, external market evidence, not just LLM-generated reasoning. Ideavize combines a fine-tuned LLM with multiple data-driven signals to help assess whether a problem is worth building for.
The market signals we currently use include:
Community signals from platforms like Reddit and GitHub (discussion volume, engagement, repo activity)
Trend signals from search volumes and growth patterns
Research signals from relevant academic and industry publications
Patent & IP signals to understand innovation density and white-space opportunities
Competitive presence and solution saturation indicators
These signals are aggregated via APIs and structured datasets, then synthesized by the LLM to provide clear, actionable validation insights, not just raw data.
The goal isn’t to predict success, but to help builders reduce uncertainty early and make better execution decisions before investing significant time and resources.
This is exactly what the startup ecosystem needs. Too many idea generators stop at the 'what if' stage, but the real challenge has always been the gap between concept and execution. The combination of market validation + actionable build plans + actual code is a game-changer. Would love to see how this handles the messy middle part of prototyping where most projects stall out. Are you focusing on any specific deep-tech verticals first, or keeping it broad?
@guilford Ideavize AI is built to support that “messy middle” of prototyping with structured build plans, AI-powered prompts, relevant code, and guided workflows—so users always know what to do next.
We’re starting broad but deep-tech focused, covering domains like AI, Generative AI, Machine Learning, Deep Learning, Edge AI, IoT, Industrial IoT, Industry 4.0, Robotics, Drones, AR/VR, Cybersecurity, Cloud Computing, Data Engineering, Business Intelligence, Embedded Systems, Full-Stack Web, and Quantum Computing.
Our goal is simple: turn ideas into real prototypes, not just concepts.
Would love for you to try it and tell us how we can make the messy middle even smoother 🙌
Pitch-Deck creation is missing for presentation to the investors for funding support.
🔥 This is not another idea generator. This is a product builder.
Ideavize AI helps you:
💡 Generate real, deep-tech ideas
📊 Validate them with real market signals
🔥 Vibe code (not boring docs)
⚡ Execute fast
👥 Collaborate with your team
🚀 Ship real prototypes
From idea → validation → code → deployment
All in one flow. No chaos. No guesswork.
If you’ve ever had a great idea but didn’t know where to start —
this platform is for you.
Honestly feels like a 10X upgrade to how products should be built.
Try it. Explore it. Tell us what to improve.
We’re building this with the community 💙
@sikandar4 Great question — quality and trust are core to Ideavize. Thank you.
Today, Ideavize uses a fine-tuned LLM trained on curated, industry-grade problem statements, which already helps generate high-quality and largely unique ideas. Ideas are created in a user-specific context and aren’t reused across users. We also surface research, patent, and market signals so users can judge novelty and feasibility early.
Next, we’re strengthening this with:
Similarity checks to further reduce near-duplicate ideas
Stable idea IDs so concepts evolve with versions
Clearer provenance and traceability as the dataset continuously improves
Beyond generation, quality is reinforced through market validation, structured build plans, curated resources, and fast prototyping, so weak ideas get filtered early.
The goal is simple: responsible, build-worthy ideas you can trust — and actually execute.
Thank you so much for feedback.
I tested a few domains and technologies, and each time it produced unique project ideas which is a promising sign. I see the generated idea with tech stack, step by step implementation plan, research papers and a market analysis in a single tool, encouraging! I was hoping to see blockchain applied to the banking sector, but that option seems to be missing. I also, expected to see various graphs in market analysis.
@hemanth_moram Thank you so much for testing Ideavize AI and for the detailed feedback — really appreciate you taking the time
We’re glad you noticed the uniqueness of ideas across domains and found value in seeing the tech stack, step-by-step implementation plan, research references, and market analysis brought together in one workflow. That “single, end-to-end view” is exactly what we’re aiming to enable.
Great call-out on blockchain use cases in the banking sector — you’re right, that specific combination isn’t surfaced yet. It’s already on our roadmap, and we’re actively expanding domain–technology mappings to cover more fintech and regulated-industry scenarios.
On the market analysis graphs — completely agree. Visual insights (TAM/SAM/SOM, growth trends, adoption curves, etc.) are something we’re currently working on, and you’ll see richer, graph-based market intelligence rolled out soon.
Thanks again for the thoughtful feedback — inputs like yours directly shape our roadmap. If you have any specific blockchain–banking use cases in mind, we’d love to hear them!
Tried it for construction in the field of business intelligence, good insights and ideas that can be implemented on site business with key stakeholders.
With AI built in, options here just stay as an idea, but a great potential for a very good product. Look forward to diving into it more.
@yohannes_peter Thank you for trying it and for the thoughtful feedback—really appreciate it.
You’re absolutely right that many AI platforms stop at “insights” and leave everything else as ideas. That’s exactly the gap Ideavize is designed to close.
Ideavize isn’t meant to be just an AI ideation layer. It’s a full execution platform, where each idea connects to:
Market validation (community signals, trends, research, patents, competition)
Structured build plans and roadmaps
Architecture and system design guidance
Ready-to-use code resources
Curated learning content (courses, frameworks, tools)
AI-generated build prompts for dashboards, APIs, and prototypes
Team collaboration workflows
So the goal is not “AI suggestions,” but idea → validation → build → prototype → deployment as one continuous pipeline.
Please check our full platform, demo videos:
https://youtu.be/qzNHwRxg6hM?si=PWy41exkB5kkthMz
https://youtu.be/Mejy3pfqQGo?si=mXjIWFPGpk5NjQCi
https://youtu.be/AUtBwThYkz0?si=1kMafS691qLka8ZJ
https://youtu.be/-DxemWoLCvY?si=KIQ6NPMStAyhO-DH
Thank you so much. If you want to explore more features, Please let me know.