NanoPoint is an AI-native presentation workspace for turning ideas and source materials into polished, editable presentations. Generate, refine, reuse materials, and export to PPTX without giving up control of the final deck.
How did Astra change the scope or ambition of what you built?
Maker
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I built NanoPoint because I was frustrated with both traditional presentation-making and the current generation of “PPT agents.”
Making a good deck manually is slow. But many AI presentation tools aren’t much better: they consume a surprising amount of time and tokens, while the final result often still needs heavy rework.
As image models keep improving, I started to believe there is another path:
image → presentation.
Instead of asking an agent to painstakingly construct every element of a slide, NanoPoint uses modern image generation to produce high-quality visual presentations at a much lower cost.
I think this could make good presentation design far more accessible. You shouldn’t need to be a designer, spend hours adjusting layouts, or burn a huge amount of compute just to clearly present an idea.
The longer-term goal is not to stop at generated images. NanoPoint is also building an export pipeline that turns the result into a PowerPoint file that can be edited again afterwards.
That editable export workflow is still under development today, but it is one of the most important parts of the project.
Ultimately, I want NanoPoint to make it extremely cheap and easy for anyone to turn an idea into something worth presenting.