[BibiGPT Growth Series] Episode 4 | One-Click AI Summary for Local Audio/Video: Hack Engine Hackathon Review

Hello everyone, welcome to the fourth episode of the BibiGPT Growth Series! In this episode, we'll travel back in time to revisit the precious moment when we showcased BibiGPT at the Hack Engine Hackathon, with content compiled from the sharing video [BibiGPT] One-Click AI Summary for Local Audio/Video | Hack Engine Hackathon Recording, with Easter Eggs.

It's worth noting that this article is based on early video footage, and some of the features and interfaces shown at that time may have been updated through rapid product iterations. However, this doesn't affect our sharing of BibiGPT's original intent, technical considerations, challenges encountered, and those passionate behind-the-scenes stories. We hope these early explorations and experiences can provide some inspiration and reference value for you.

Team Introduction: Real and Virtual AI Creative Forces

First, let me introduce our team at that time—"AI Creation." This name signifies AI = All In, fully committed; meanwhile, "Creation" represents creativity, creation, and innovation. The team included not only real members like myself, Niko, and Tantan, but also a "virtual legion" composed of AI.

From ChatGPT for overall planning, to Wrap.dev CLI, Cursor.so, and GitHub Copilot for script and code assistance, to copywriting, reading assistance, poster design, illustration generation, and even logo design, AI tools played important roles at every step. It can be said that BibiGPT has been flowing with the blood of AI collaboration since its inception.

BibiGPT's Birth: AI Audio/Video One-Click Summary Tool

Our competition product was Copilot for Video - BibiGPT. Its core concept was "AI audio/video content one-click summary," with the slogan "no bibi, show me the notes!" At that time, BibiGPT already supported summarizing Bilibili, YouTube video links, and local audio/video files. Even the product's logo was the result of a 2-hour collaboration between me and New Bing.

Users gave BibiGPT many interesting nicknames, such as "time-saving tool," "class representative," "copywriting secret," "viewpoint master," "meeting assistant," and so on. Our goal was to make audio/video information as easy to obtain as floating clouds, achieving efficient learning.

Core Features: Multi-dimensional Views, Efficient Learning

BibiGPT's design goal was to become an AI audio/video assistant in learning scenarios, capable of processing multi-modal content. The core features implemented at that time included:

• Outline View: After inputting a URL or uploading a file, generate an overview and highlight summary of the video content with one click.
• Content Segmentation & Timestamp Jump: Automatically segment the content and associate video timestamps, making it easy for users to quickly jump to parts they're interested in.
• Subtitle List & Timeline: Provide complete subtitle text and present it in timeline form for easy reference and location.
• Mind Map: Generate a mind map of the content with one click, presenting information in a structured way for clarity at a glance.
• Personal Center & Summary Records: Users can review past summary records in their personal center.
• Tool Integration & Note Export: Support one-click export of summary content to mainstream note-taking software such as Notion, Roam Research, Obsidian, FloMo, etc.
• Browser Plugin: Provide a browser plugin to summon BibiGPT for summarization while watching videos.
• Popular Summaries & Collective Wisdom: Users can subscribe to popular summaries from the community to gain inspiration from collective wisdom.

Practical Demonstration: From YouTube to Local Files

At the Hackathon, we demonstrated BibiGPT's actual operation process.

For YouTube videos, you only need to paste the link, click "One-Click Summary," and quickly get an English summary with timestamps. You can also easily switch to Chinese and choose whether to display emojis, generating clear outline-style highlights and overviews.

For local audio/video files, users can directly upload files. BibiGPT will convert and recognize them, generating subtitle lists, outline views, mind maps, and article modes in various forms. At that time, when demonstrating processing of the ChatGPT Plugins video I had released a few days earlier, the accuracy of local file subtitle recognition was already quite high. The generated summary content could also be saved to Notion and other note-taking tools with one click.

Startup Thoughts and Future Outlook

At the end of the video, we shared some of Jike's Wawa's thoughts on entrepreneurship, such as "go online as soon as possible," "retention data is important data," and "commercialize early," which we strongly agreed with and put into practice.

At the same time, I also added my own view: regarding "don't fall in love with your product, eliminate it quickly," I think more accurately, we must love our product, but this love needs to be built on the intersection of "love," "expertise," and "market need." Only in this way can the product truly have the value to change the world and be worth our long-term protection.

Looking back on this Hackathon experience, it was full of passion and challenges. BibiGPT's journey from an idea to an initially formed product was inseparable from the team's efforts and AI empowerment. Although the product form and features are quite different now, the spirit of "AI Creation" and the original intention to solve user pain points remain unchanged.

Thank you for reading, and we hope this review gives you a deeper understanding of BibiGPT's early development. Stay tuned for the next episode of the BibiGPT Growth Series!