Turning CRM Chaos into a Revenue Engine Built an AI-driven HubSpot Γ Apollo automation that runs ...Turning CRM Chaos into a Revenue Engine Built an AI-driven HubSpot Γ Apollo automation that runs ...
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Built an AI-driven HubSpot Γ Apollo automation that runs outreach, enrichment, and engagement on autopilot, every 6 hours, zero manual work.
π° Why it matters:
β’ Faster lead enrichment = higher reply rates
β’ Personalized outreach at scale
β’ Clean, always-updated CRM
β’ Sales teams focus on closing, not admin
This is how modern teams save hours, increase conversions, and unlock predictable revenue with automation + AI.
Curious π
Would you trust AI to run your outbound engine, or do you still prefer manual control?
An AI-powered phone receptionist built for real estate agencies that answers inbound calls, qualifies leads in real time, and books showings directly to Google Calendar β all within the call itself, with no manual follow-up required.
The problem: Real estate agencies routinely lose leads to missed calls β after-hours inquiries, calls during showings, or overflow during busy periods. A slow callback often means the lead has already moved on to a competitor.
What it does:
Answers every call instantly, 24/7
Naturally qualifies the caller (buy/sell intent, area of interest, showing vs. agent call)
Collects contact details and preferred timing conversationally
Checks real-time calendar availability before booking
Prevents double-bookings and duplicate entries automatically
Confirms the appointment out loud before ending the call
Built with: Retell AI (conversational voice layer), n8n (workflow automation and business logic), Google Calendar API (scheduling)
Available for: Custom builds for real estate agencies, brokerages, or property management companies looking to stop losing leads to missed calls
The wide counters are what let it survive the home screen β in that grid of other app icons it still reads as one shape instead of collapsing into noise, which is the real test for a CRM mark. Is the gradient locked to the logo, or does it shift across the product surfaces?
At CRITER.AI, weβre building AI that helps migrants avoid expensive legal mistakes and visa bans by auditing Australian visa applications against immigration law. Weβve been getting a healthy amount of investor interest, but there was one recurring piece of feedback: our pitch deck was lackluster.
Fair enough. As a lawyer, my creativity usually goes into finding the legal issue everyone else missed, not deciding which shade of blue says βinvest now.β
So we set out to change that. We chose Contra over its competitors because the caliber of people looked considerably stronger.
When I posted our request for a pitch-deck redesign, I expected a few people to reach out with quotes. As of today, we have had 303 applicants.
For a bootstrapped business, working through that volume was simply impossible. So we created a challenge:
βHere is my pitch deck. Pick the slide you think needs the most work, and show me what you can do.β
What followed was fascinating.
101 applicants (around 1/3) never replied. Of those who did, around 10% simply reiterated what they had already said. One person replied that, with 250 applicants, they were not going to bother trying. lol.
Several asked whether the test would be paid. 12 sent a quote for the work to be paid first, after which I could decide whether to go further.
Less than 25% of the applications were obviously AI-generated. We are by no means AI-phobic, but the Claude watermark was perhaps a little too much. You know who you are dude!
2 people had trouble opening the Google file we sent. Iβm still not entirely sure why.
7 people were so impressed by the work they did that they watermarked it, labelled it βdraft,β or otherwise made it impossible to download for further review.
12 people reached out through LinkedIn rather than the app; a further 18 emailed; and 1 person even called me.
18 people not only sent an example slide; they also signed up for our free immigration-advice beta test.
From 303 applicants, we narrowed the field to 15 people who were simply too good to ignore.
Every one of those candidates took the time to understand what we were trying to do, what CRITER.AI is about, and spoke to us as people rather than as another job listing. Two spotted mistakes in the pitch deck that we would not have noticed without them. Another created a 3-minute Loom presentation explaining the changes they made and why they mattered. Most went beyond the requested single slide. One applicant redesigned the entire pitch deck and sent it watermark-free.
It was a difficult decision, but the person we chose had just that little bit more talent than an exceptionally strong group. They not only showed that they understood what we wanted and impressed us with the slide they redesigned; they also suggested another slide we had never considered relevant, then created it using information we had not even provided.
They took our AI immigration-law business and made our pitch deck speak to investors on a human level.
Can't wait to come back to resign our website, social media and other design work.