Just wondered what process you used for either selling or charging monthly for an app/agent. There are running costs for hosting and API calls and sometimes with apps that include voice agents the costs can add up if they have big usage. How do you deal with this? Do you build everything in your own accounts and when the project is complete, do you ask the customer to open their own accounts for hosting and API calls and then switch to that and transfer the app to them? So how do you deal with this process?

Has anyone worked with the Abacus.ai DeepAgent? It looks pretty good but I thought it would be better to get opinions from real people with hands on experience.

I’ve noticed most people in this space don’t fail because they’re lazy or incapable. They fail because they’re trapped in one of these patterns: Overwhelm: jumping between 10 tools and never mastering one. No clear starting point: trying to automate everything at once instead of focusing on one income-driving task. Shiny object chasing: moving from workflow to workflow without building a system that lasts. Automating chaos: scaling broken processes and then wondering why results don’t come in. I went through all of this myself. What changed everything for me was realizing that automation is not about doing more. It’s about doing the right things consistently and letting systems carry the weight. Here’s the simple shift that made results click: Identify the one process that drives income (sales, leads, or customer support). Simplify it first, no tech, no tools, just clarity. Only then, add automation to make it consistent and scalable. That’s when automation goes from feeling like “extra work” to being a real growth engine. Question for the community (especially newcomers): Which of these pain points do you feel most right now, overwhelm with tools, not knowing where to start, or automating the wrong things?

Here are the top 3 Fresh APIs and Tools for AI Builders recently launched in the past few weeks... 1. CoinGecko Crypto Treasury API - September 19, 2025 Details: https://cryptobriefing.com/coingecko-launches-api-for-crypto-treasuries-data-access/ CoinGecko launched treasury tracking endpoints that show which governments and companies hold crypto. Perfect for building investment tracking apps, market sentiment tools, or crypto portfolio analyzers. Money opportunities: - Build treasury tracking dashboards for crypto funds - Create alerts when major holders buy/sell - Develop corporate crypto adoption reports for consulting firms How to tap in: Use their new /treasuries/bitcoin endpoint to track institutional holdings. Build automated reports showing who's accumulating or dumping. Sample prompt: Build me a crypto treasury tracker that monitors when governments and companies change their Bitcoin holdings. I want to detect when major institutions buy or sell, calculate the total institutional ownership percentage, and send alerts when holdings change by more than 10%. 2. Google Trends API Alpha - September 2025 Details: https://developers.google.com/search/blog/2025/07/trends-api Google finally released programmatic access to Trends data with 5 years of consistent data. Unlike the website, this gives you scalable access to search interest data. Money opportunities: - Build trend-based content strategy tools for agencies - Create market research dashboards for businesses - Develop SEO opportunity finders based on search trends How to tap in: Apply for alpha access at developers.google.com/search/apis/trends. Focus on research/journalism use cases since they're not prioritizing SEOs yet. Sample prompt: Create a content opportunity finder that uses Google Trends API to identify trending topics in my industry. I want it to compare search volume across different regions, predict which trends are growing, and suggest content topics before they peak.

Google Maps Lead Generation & Enrichment Workflow for MSP Business Development As the Business Development Director for a multi-MSP portfolio, one of my biggest challenges is consistently sourcing, cleaning, and organizing new lead data across multiple regions. I wanted to share a two-part workflow I recently built in n8n that has streamlined the entire process and provided me with a scalable system for lead generation, enrichment, and outreach automation. Part 1: Lead Scraping & Upload - Starts with a form submission where I specify search terms (e.g., Law Firm, Legal, Attorney) and a location. - Runs an Apify Google Maps Scraper actor to pull company data and enriched contact information (emails, LinkedIn, etc.). - Includes a dynamic wait step (user-specified) since large searches can take several minutes. - Once completed, the dataset is retrieved, converted into a JSON file, and uploaded into a watched Google Drive folder. Part 2: Cleaning & Airtable Ingestion - A Google Drive trigger detects new files in the watched folder. - The file is downloaded, extracted, and passed to a cleaning & formatting code node, which strips non-essential data and maps the records into an Airtable-ready schema. - A routing node directs leads to the correct Airtable table based on business unit/territory - Records are upserted into the LEADS base in Airtable, and a Slack success message confirms completion for each territory. The Use Case We operate multiple MSPs across different regions, and our sales strategy relies heavily on targeting both geographies and industries/verticals. - This workflow allows us to organize leads by territory so each MSP business unit has its own pool of opportunities. - At the same time, we can tag and filter by industry verticals (e.g., Legal, Medical, Manufacturing, Non-Profit, CMMC-focused clients), which lets us prioritize the more profitable markets in the MSP space. - By combining geographic and industry-based segmentation, we can build highly targeted outreach campaigns that maximize ROI.