Aug 7, 2024 · 42m · startup-ideas
Creator tools you can build that will print money
0:00 / 0:00
▶ Watch on YouTube →
gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this episode, serial entrepreneur Thibault joins host Greg Isenberg to unpack actionable software business models, the mechanics of driving massive organic traffic with free SEO mini-tools, and the rising market opportunity for 'Certified Human' counter-positioned software. Together, they outline tactical blueprints for building next-generation creator tools, inverting brand sponsorship marketplaces, and establishing defensible software moats in the age of generative AI.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Greg holds 47.9% of the talking time here. How this is scored →
Greg as informed peer 5.2 Guest teaching 4.0 Guest disagreement 1.6 Greg pushing back 1.8
speaking balance: gold is Greg, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 24:51 Dismissing LLM Embedded Tools
Tibo directly rejects Greg's thesis that LLMs will integrate interactive tools, flatly calling OpenAI plugins and Custom GPTs a failure based on user adoption.
Hardest push from Greg ▶ 25:23 Defending the 5-Year Embedded Search VisionGreg refuses Tibo's dismissal of LLM tool integration, defending his stance by framing it as a 5-year evolutionary trajectory driven by search engines optimizing user experience.
Biggest teaching moment ▶ 18:25 Unveiling Mini-Tool Traffic MetricsTibo educates Greg with concrete proprietary data, explaining how building over 40 lightweight mini-tools brought in 70% of Taplio's inbound traffic.
Greg holds their own ▶ 13:27 Outlining the Sponsorship Scraping PlaybookGreg demonstrates deep operational expertise by detailing an end-to-end growth funnel: scraping top Passionfruit creators, compiling Airtable swipe files, and buying targeted ads to generate cheap leads.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Greg as informed peer | Guest teaching | Guest disagreement | Greg pushing back | Why |
|---|---|---|---|---|---|---|
| Flipping the Influencer Marketplace: Brand-Centric Sponsorship Portfolios | 5 | 3 | 1 | 1 | Tibo introduces Passionfroid and suggests reversing the sponsorship marketplace model. Greg actively engages by identifying how Passionfruit differentiated itself through B2B creators and Linktree-style sponsorship pages. | |
| Sponsor Break: Boring Marketing SEO Services | 5 | 4 | 1 | 1 | Following an ad read, Tibo outlines how AI could moderate incoming creator pitches. Greg relates his personal experience with inbound cold deals like Logitech, while Tibo explains how TweetHunter handled an overwhelming influx of creator applications. | |
| Monetization Mechanics and Brand Acquisition Strategies | 6 | 4 | 2 | 3 | Greg explains the classic cold-start problem for marketplaces, arguing founders must provide initial value for free before taking cuts. Tibo offers an alternative perspective, suggesting charging immediately for moderation and workflow handling. | |
| Niche Targeting and Sponsorship Swipe Files as Lead Magnets | 7 | 4 | 1 | 1 | Greg presents a tactical growth hack involving scraping Passionfruit creator sponsorships to build Airtable lead magnets. Tibo builds on this by proposing turning the swipe file into a free SEO-optimized tool directory. | |
| The Playbook for Engineering SEO Traffic Through Free Mini-Tools | 4 | 7 | 1 | 1 | Tibo delivers an in-depth breakdown of Taplio's SEO playbook, revealing that 40 mini-tools drove 70% of total traffic, highlighted by an unpolished LinkedIn video downloader pulling 1M visitors per month. | |
| Search Evolution: Google vs LLMs and Embedded Software Tools | 6 | 5 | 4 | 5 | A substantive philosophical clash occurs when Greg predicts LLMs will natively embed interactive software tools, which Tibo disputes by pointing to the commercial failure of ChatGPT plugins and Custom GPTs. | |
| Community Indexing, LLM Answers, and Human Authenticity | 6 | 4 | 3 | 3 | Tibo discusses seeding Reddit for LLM training data, but Greg insists authentic human storytelling is irreplaceable. Tibo counters that with proper prompt framing and intentional imperfection, AI can emulate authentic human emotion. | |
| Capitalizing on the Anti-AI and Certified Human Movement | 7 | 4 | 1 | 1 | Tibo introduces the idea of 'certified no-AI' software positioning. Greg demonstrates strong domain knowledge by connecting this to Scott Belsky's digital nutrition labels, BeReal's rise, and 37signals' anti-positioning playbook. | |
| Wrapping Up and Where to Follow Thibault | 1 | 1 | 0 | 0 | Standard wrap-up segment where Tibo plugs his Twitter handle and his video tool Revit.ai, followed by friendly closing remarks from Greg. |
Statements from this episode (13)
Isenberg: Tibo Louis-Lucas sold TweetHunter and Taplio for $10M
“When you sold TweetHunter, and you sold Tapleo for ten million dollars, I was like, okay, this guy is legit.”
Louis-Lucas: AI curation makes inbound creator sponsorship pages viable for brands
“I think the hardest, like the hardest to do here is creation and moderation, because obviously you would have like a chunk creators, like shitty creators applying, but if you find a way to use AI in a good way to rank sort and grades, the creators coming in, y…”
Isenberg: Logitech offered to pay $10,000 for a single text post
“And some of these brand deals, like, I think Logitech wanted to pay me, like, 10 grand for, like, a text post, you know?”
Louis-Lucas: Niche sponsorship libraries rank for long-tail SEO keywords
“Because if you make a tool and you build like a tool, which would rank for best sponsorship in marketing or best sponsorship in AI or best sponsorship in e-commerce, you can rank for many, many long tail keywords. And then said your main products.”
Louis-Lucas: 40 SEO mini-tools generated 70% of Taplio and TweetHunter's traffic
“And all the mini tools that we built, like, I think we built more than one per month. So at the end we had like 40 SEO optimized mini tools and all, all them together was bringing like we're bringing like a 70% of the traffic.”
Louis-Lucas: Taplio's LinkedIn video downloader drove 1M visitors per month
“Like our best performing mini tool was something that we gave as a test To a developer that we wanted to hire. We had no hope on this tool. It was download, download video from a LinkedIn post and it ranked first for this. So it was a very low intense keyword …”
Louis-Lucas: Action-based searches will stay on Google, not ChatGPT
“One thing that I know for sure is that it's going to be less true for requests that are based on an action. Like if you want, if you are looking for a tool to compress a video or to download the video from LinkedIn, it's very unlikely to me that you're going t…”
Isenberg: AI search engines like ChatGPT will embed interactive tools
“My prediction is tools will be embedded within a lot of these platforms.
So
Right now when you use perplexity or use ChatGPT, really what you're getting back is mostly texts. You know, sometimes you're getting some links or some images and over time what you'r…”
Louis-Lucas: ChatGPT plugins and Custom GPTs have been a failure
“They did that with plugins and then they did that with custom GPTs and I have no numbers to support what I'm going to say, but it seems to me that it's, it is a failure and that no, no, no one is, you have slight you have small use cases when you will use a cu…”
Louis-Lucas: Answering Quora and Reddit questions will seed LLM responses
“I would heavily invest in replying to Cora questions and Reddit questions, because that's probably where a lot of LLMs are going to get their answers.”
Louis-Lucas: Prompted LLMs will convincingly mimic human emotions and errors
“Even without better LLMs. But with proper context and prep proper instruction, I don't see how you would not have a better system that would reply exactly like Jesus said that the key thing is to have like a human touch, human emotions, and errors. Like you ha…”