built a chrome extension that applies to vacancies and tries to convert HR and decision makers at companies into offering me a position or becoming my AI automation client. using openrouter, free llms, my resume which gets modified per each job post so to better match key role, responsibilities and requirements.

if you are like me your inbox is full of people with whom you lost contact and if done right those people can be followed up with to become your friends and or customers. i build an ai powered automation that will follow up with those old contacts with the power of LLM automation. script identifies emails based on the tag assigned to them, reads each email message to understand the context and the goal attached to each email tag and response to the email in that context. email is then automatically sent or left as draft for human to review. this is a great way for me to automate and follow up with people that i lost touch with. tech stack: openrouter, free llms models, thunderbird extension (coded with help of claude). cost?: 20-40 hours of my time.

i built an automation that allows me to cold text from 30 different phone numbers (3,000 messages per day per phone number) and and its powered by LLM so when people reply they talk to the over 30 different fine tuned AI powered chatbots based on the campaign their phone number is attached to. anybody want to guess how much im paying for the llm (tokens), phone numbers (phone plan), sms campaign system (saas)?

i built an automation that allows me to cold text from 30 different phone numbers (3,000 messages per day per phone number) and and its powered by LLM so when people reply they talk to the over 30 different fine tuned AI powered chatbots based on the campaign their phone number is attached to. anybody want to guess how much im paying for the llm (tokens), phone numbers (phone plan), sms campaign system (saas)?

Just set this up and it's pretty cool. Your AI assistant stores everything in markdown files - daily logs, meeting transcripts, deal notes, long-term memory. But those files live on the server, so you never really see them unless you SSH in. The fix: sync everything to a GitHub repo, then open that repo as an Obsidian vault on your computer. Now I can browse everything R2 knows. Search across all my meeting notes. See the graph view of how topics connect. It auto-syncs every hour, so it's always current. Here's how it works: 1. Generate an SSH key on your server 2. Create a private GitHub repo 3. Add the SSH key as a deploy key (with write access) 4. Push your AI's memory and knowledge folders to the repo 5. Set up a cron job to sync changes every hour 6. Clone the repo to your computer 7. Open that folder as an Obsidian vault That's it. Now you have a local copy of your AI's entire knowledge base that stays in sync automatically. If you want the detailed step-by-step commands, I've got a doc for that - just ask.