
Tale Craft
AI companions marketplace for parents and kids
What it does
TaleCraft is a marketplace of AI voice-callable companions for kids, based on stories generated by parents or downloaded from our marketplace. Parents have full control via the WhatsApp parent channel and can upload knowledge to our heroes.
Does a similar job
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- TATaleBot – AI-Generated Personalized Bedtime Stories for Kids2023 · talebotai.com · ▲17
Hello HN, I'm excited to share a project my co-founder and I have been working on - TaleBot. What It Does: TaleBot creates a personalized bedtime story based on parent/caregiver's inputs. You can customize the theme, the challenges (kid-friendly obstacles) the characters face, and even the moral lesson it teaches. Once the story is ready, you'll receive a PDF file, and an AI narrated voiceover of it. Try It Out: We've made it as barrier-free as possible for you to test. Use the promo code HNFREETALE on our story creation form, and you can get a story written for free, no sign-ups…
- SFStories for Kids Using AI2023 · storybee.app · ▲18
Every child deserves a tale that ignites their curiosity, fuels their dreams, and takes them on a journey through the realms of wonder. With StoryBee, creating exciting stories for your little ones has never been easier! How it Works: https://storybee.app/how-to-generate-stories Story to Audio: https://storybee.app/ai-story-audio-narration Why sharing here: To get some constructive feedback from awesome HN community.

More ai this month
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, August 2025
the whole month →
- IS
I built the world's most impractical 1000-pixel display and anyone in the world can draw on it. It draws a single pixel at a time and takes 30-60 minutes to complete a single image. Anyone can participate in the project by voting for the next image to be drawn, and submitting images. https://kilopx.com/
Work · 2025 · benholmen.com

- KT
Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less than 25 MB. This model has 15M parameters. This release supports English text-to-speech applications in eight voices: four male and four female. The model is quantized to int8 + fp16, and it uses onnx for runtime. The model is designed to run literally anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required! We're releasing this to give early users a sense of the latency and voices…
Dev tools · 2025 · github.com
- IW
I was wondering how I can arrange objects along a spherical helix path, and read some articles on it. I ended up learning about parametric equations again, and make this visualization to document what I learned: https://visualrambling.space/moving-objects-in-3d/ feel free to visit and let me know what you think!
Life & fun · 2025 · visualrambling.space
- TC
For HTML Day 2025 [1], I made a web service that displays the current sky at your approximate location as a CSS gradient. Colours are simulated on-demand using atmospheric absorption and scattering coefficients. Updates every minute, without the use of client-side JavaScript. Source code and additional information is available on GitHub: https://github.com/dnlzro/horizon [1] https://html.energy/html-day/2025/index.html
Dev tools · 2025 · sky.dlazaro.ca