- 1. Wikitoday
- 2. Filekit
- 3. Jarvis
Explore trending topics with wikitoday
- Web: https://wikitoday.io
- Frontend: https://github.com/filekit-co/wikitoday-front
- Back: https://github.com/filekit-co/wikitoday
Wikitoday.io
- Wikitoday is a fully automated AI-based article generator. Built with Google Cloud Workflows, it orchestrates microservices that handle data crawling, preprocessing, translation, AI regeneration, markdown conversion, publishing SNS messages and CI/CD pipelines.
Wikitoday's dedication to a global audience is evident from the diverse range of users accessing our platform. Over the span of 5th August to 27th August, we've observed significant engagement from various parts of the world.
Here are some highlights based on the data from 5th August(Wikitoday's start date) to 27th August:
- The United States led the way with a whopping 20,908 requests, showcasing the platform's popularity in the region.
- South Korea wasn't far behind with 11,831 requests, indicating a strong user base in the country.
- France also showed significant interest with 10,835 requests.
- We've seen a notable presence from the Russian Federation with 4,537 requests.
- Japan contributed with 1,608 requests, marking its place in our global user community.
In total, we've had 3.58k unique visitors in the past month, with a single day's peak reaching up to 765 unique visitors. This data underscores Wikitoday's growing global footprint and its resonance with users from different corners of the world.
🌱 Yandex Dzen
📰 Google News
🎥 YouTube
🐦 Twitter
📸 Instagram
📘 Facebook
🎵 TikTok
Filekit, the ultimate toolkit for file and media processing. Designed to simplify complex tasks, FileKit provides a suite of tools for file conversion, image processing, media downloads, and more. With a global reach and a commitment to performance, FileKit is the go-to solution for users worldwide.
- Websites:
- Source codes:
- Swagger:
- Design: Tailwind css
- Framework: Svelte / Sveltekit
- Deploy: Vite / Cloudflare pages
- Image Process: U2-Net(U square net)
- Pdf Process: PyMuPDF
- Video Process: ffmpeg
- API Server:
fastapi
- Cloud:
Google cloud run
/Docker
FileKit's commitment to international users is evident in its extensive localization, supporting 36 languages. Our platform has seen engagement from users spanning continents, from the bustling streets of India to the serene landscapes of Norway.
just a month 23.07 ~ 23.08, we've had:
- Over 1,200 active users from Türkiye.
- A remarkable engagement rate of 72% from Ukraine.
- An average session time of over 262 minutes from users in South Korea.
- Active users from diverse regions like Uzbekistan, Kazakhstan, India, and the United States.
These metrics are a testament to FileKit's universal appeal and its ability to cater to diverse user needs.
Effortlessly convert between popular document formats like PDF, DOC, DOCX, and more.
Download and convert media from platforms like YouTube and TikTok.
From background removal to format conversion, FileKit's image tools have you covered.
Discover and utilize a vast collection of emojis and icons for your projects.
- SvelteKit: Experience lightning-fast performance with SvelteKit's server-side rendering (SSR).
- SEO Optimized: With meticulously crafted meta data, FileKit ensures optimal search engine visibility.
- i18n: Our platform speaks your language, with support for 36 languages ensuring a seamless user experience.
FileKit API Server is a versatile tool designed to handle various file conversion and manipulation tasks. Built on top of the FastAPI framework, it offers a range of endpoints to cater to different file processing needs, from image background removal to PDF manipulations.
POST /bg/remove
: Remove the background from an image sent within the request.GET /bg/remove
: Remove the background from an image using a provided URL.POST /images/convert
: Convert images to PNG format.
Convert between various formats like EPUB, PDF, DOC, DOCX, and XPS. Specific routes include:
/epub-to-doc
/pdf-to-doc
/xps-to-doc
/epub-to-docx
/pdf-to-docx
/xps-to-docx
Convert different formats to PDF, including EPUB, XPS, OXPS, CBZ, and FB2. Specific routes include:
/xps-to-pdf
/epub-to-pdf
/oxps-to-pdf
/cbz-to-pdf
/fb2-to-pdf
POST /info
: Download target URL info.POST /download/audio
: Download to audio format.POST /download/video
: Download to video format.
POST /pdf/encrypt
: Encrypt a PDF file.POST /pdf/decrypt
: Decrypt a PDF file.
POST /pdf/add-watermark
: Add a watermark to a PDF file.POST /pdf/add-logo
: Add a logo to a PDF file.
POST /pdf/merge
: Merge multiple PDFs into one.POST /pdf/split
: Split a PDF into multiple files.POST /pdf/compress
: Compress a PDF file.
Jarvis is a cutting-edge platform that integrates ChatGPT with domain-specific knowledge. By vectorizing vast amounts of domain knowledge, Jarvis allows users to utilize GPT in context with domain-specific information. Furthermore, with the power of fine-tuning, Jarvis offers a more customized GPT experience tailored to the specific needs of its users.
- Domain Knowledge Utilization:
Langchain
/Openai
- Vectorestore / Database:
Redis
- WSS server / API server:
Fastapi
/Nginx
- For Report: Report Jupyter Notebook Repo
- Domain Knowledge Integration: Jarvis transforms extensive domain knowledge into vectorstore, enabling GPT to operate within a specific domain context.
- Customizable GPT: Through fine-tuning, users can have a GPT experience that is more aligned with their specific requirements.
- Chatbot Service: Designed with use-cases such as onboarding part-time staff for solo entrepreneurs and facilitating conversations with book authors.
- Report Generation: Using the user's chat conversation history as input, Jarvis allows users to select a topic of interest. It then provides an in-depth report, analyzing the topic across 3-4 subtopics.
-
Chatbot: Ideal for scenarios like assisting self-employed individuals in onboarding part-time workers or enabling conversations with book authors.
-
Report Writing: Users can input their existing chat conversation history, and upon selecting a desired topic, Jarvis will generate a comprehensive report, breaking down the topic into 3-4 detailed subtopics.