Reading up on Intercom
8 deep · digging since feb 12
- Input based pricing vs Output based pricing
The article contrasts input-based pricing (charging for resource usage like API calls) with output-based pricing (charging for resolved outcomes), explaining their trade-offs in customer perception, measurement complexity, and product incentives.
- Salesforce to Acquire Fin (formerly Intercom) for $3.6B
Salesforce acquires Fin (formerly Intercom) for $3.6B to compete in the AI customer support agent space, with many commenters debating whether AI support is truly better than human-led support.
- Clay | Go to market with unique data—and the ability to act on it
Clay provides a platform that combines 150+ premium data sources and AI agents for go-to-market teams to automate growth workflows and turn data into revenue.
- Thread by @brian_scanlan on Thread Reader App – Thread Reader App
Intercom built a 13-plugin system with 100+ skills and hooks for Claude Code, transforming it into a full-stack internal engineering platform.
- The AI pricing and monetization playbook - Bessemer Venture Partners
AI pricing must shift from per-seat SaaS to outcome-based models that account for compute costs and align with customer value, according to Bessemer Venture Partners.
Takes
Here's how I'm running my $4M/year SaaS with a $260/month executive team of Grok Bots: Inbox Triage - is logged into my email, Facebook, X, LinkedIn. It ignores/closes all emails and DMs that don't need a reply from me. It opens an inbox item in Trello with a link to the email or DM if it needs a reply. Assistant - helps me plan my day and week schedule. Has access to my calendar. I chat back and forth to plan out fitting lunch, gym, meetings, handling my inbox, and "creative time" boxes into my day. COO - is logged into Intercom and Slack to give me a report on any customer requests or project deadlines slipping. Daily News - summary of news for each of my stock investments ($RIVN, $QXO, $FLUT, $CHTR, and $TINY.TO), the latest Reddit or social media thing going viral in my business niche which is Ubiquiti stuff. CMO - this one hasn't been useful tbh because I don't trust it to give it access to social media accounts, blog, or website and as a thought partner it's not very intelligent. It seems to me that Grok Bots are for actually doing things, Grok direct is still best for strategy and thinking through ideas. CISO - I put it in a group chat with all the other bots and they were given instructions on what not to do by the CISO bot for security purposes. CFO - I give it access to QuickBooks, ProfitWell, and our internal reporting dashboards then ask it questions and bounce ideas. They're all running around logged into my accounts via a web browser in the Grok Bot provided VM. Zero APIs or integration setups needed.
@rchase
Running list of AI agent ideas to make you more productive and more money: 1. The onboarding rescue agent. Watch PostHog for any new signup who stalls on the same step for more than 10 minutes, then have an agent send them a Loom style personal message or a CustomerIO email that answers the exact thing they're stuck on before they give up. 2. The pricing page bounce agent. Fire a PostHog webhook when someone hits your pricing page twice and leaves, have the agent enrich them with Apollo, and send a short email with the objection handler for their specific company size when it matters. 3. The second product in support agent. Point an agent at your Intercom/Plain inbox etc and have it tag every request that isn't actually about your product, the adjacent thing people assume you also do. It ranks them by frequency. 3. The you already answered this agent. Have an agent read your sent folder, your Intercom replies, and your sales emails, and pull the clearest explanations you've ever written about your product. It drops them into a swipe file your landing page and cold emails pull from. 4. The internal tool to product agent. Point an agent at your team's GitHub scripts, Retool apps, and Google Sheets, and have it flag the ones 10 other companies in your niche would pay for. 5. The review mining agent. Apify scrape every review of your top 3 competitors on G2 and Capterra, cluster the 1-star complaints with Claude, and get a ranked list of the features to build and the exact words to use in ads to poach those unhappy customers. 6. The sell what you give away agent. Once a week, feed your Granola/Gmeet call notes and Intercom threads into an agent that hunts for every task your team did for free that took more than 30 minutes. It clusters them, counts how often each came up, and ranks by demand. The top 3 become paid add ons. 7. The win pattern cloner. Pull your last 50 closed-won deals from HubSpot or whatever CRM you use, have an agent find the firmographic traits and the trigger event those buyers shared before they bought, build a lookalike list in Clay, and feed it straight into Instantly. 8. The self improving ad agent. Wire an agent to your Meta ads account that pulls the winners daily, uses Perplexity to scrape fresh Reddit pain points, generates new static creative with Nano Banana, checks it against your brand guide with a vision model, publishes, kills the losers, and scales the winners on a loop. An entire performance marketer running 24/7. 9. The first hour agent. Pull your last 500 signups from PostHog, split them into power users and churned users, and have the agent diff the first session event streams to find the one action power users took that churners skipped. Then force that action into onboarding with a PostHog feature flag. 10. The lost deal rescue agent. Have an agent pull your closed lost deals from your CRM, then monitor those competitors' status pages and pricing pages with a daily Firecrawl. The morning a competitor has an outage or raises prices, it drafts a personal reach out to the buyers you lost to them. 11. The Gemini video scout. Point Gemini at your competitors' YouTube demos, webinars, and conference talks, and have it watch the actual footage, not the transcript, to pull the features they're teasing and the UI they're showing. It reads what they demo on screen, not just what they write down. 12. The wrong answer agent. Run your product's top buyer questions through ChatGPT, Claude, Gemini, and Perplexity every week on a cron, and have the agent log the moment any of them start saying something false about your pricing, features, or positioning, then Slack you the exact wrong claim and the source it likely pulled from. Honestly the fun part is that once you build one of these, you can't stop seeing them everywhere, every manual task starts looking like an agent you haven't set up yet. That's kind of where my head is at lately, so I'll keep dropping agent ideas here and on @startupideaspod as I go, and if you build one that rips, tell me, I want to see it. Grab whatever idea is useful. I'm rooting for you.
@gregisenberg
The age of vertical models is here
@eoghan