tipsofday
An open-source project running on the local Gemma model and Ollama that fetches cryptocurrency market data through scheduled tasks and automatically generates daily briefing text, achieving an automated content generation pipeline with zero API cost, data localization, and offline operation.
Timeline (last 90 days)
Developer Adalberto Caldeira Brant Filho shared on dev.to his Hacktoberfest open-source AI challenge second-week project tipsofday, which uses a local Gemma model to automatically write daily crypto news briefs.
The core idea of tipsofday is to use Ollama or a similar tool to load the Gemma model, pair it with a scheduled task to fetch crypto market data, and then have the model generate briefing text based on a preset template.
According to the project description, generating a single crypto briefing with local Gemma takes about a few minutes, depending on the hardware configuration and the degree of model quantization.
The technical architecture of tipsofday can be divided into three layers: the data collection layer (pulling data such as cryptocurrency prices from public APIs), the inference generation layer (filling structured data into prompt templates and handing them to the local Gemma model to generate the briefing), and the output distribution layer (saving as Markdown/HTML or pushing via email or a Telegram Bot).
The developer built a working tipsofday prototype in about a week, and after the code was open-sourced, others can directly fork and modify it.
All Facts (5)
The core idea of tipsofday is to use Ollama or a similar tool to load the Gemma model, pair it with a scheduled task to fetch crypto market data, and then have the model generate briefing text based on a preset template.
50%UnverifiedAccording to the project description, generating a single crypto briefing with local Gemma takes about a few minutes, depending on the hardware configuration and the degree of model quantization.
50%UnverifiedThe technical architecture of tipsofday can be divided into three layers: the data collection layer (pulling data such as cryptocurrency prices from public APIs), the inference generation layer (filling structured data into prompt templates and handing them to the local Gemma model to generate the briefing), and the output distribution layer (saving as Markdown/HTML or pushing via email or a Telegram Bot).
50%UnverifiedThe developer built a working tipsofday prototype in about a week, and after the code was open-sourced, others can directly fork and modify it.
50%UnverifiedDeveloper Adalberto Caldeira Brant Filho shared on dev.to his Hacktoberfest open-source AI challenge second-week project tipsofday, which uses a local Gemma model to automatically write daily crypto news briefs.
50%