David Arnoux

GenAI ⚫️ Circle

We are GenAI ⚫ Circle.  
An invite-only braintrust for AI users & builders.
Apply to join here: www.thegenaicircle.com

Founder

HeyArnoux

I deliver GTM / AI strategies that work for 2025 and beyond:
- Multi-agent GTM strategies 
- Micro-influencer-powered flywheels 
- Off-platform pushes 
- Community-first approaches
- Prosumer-first approaches
- Fully automated outbound + inbound
- As well as traditional playbooks (product-led growth, sales-led growth, growth loops, seo + pr pulls etc)

Get in touch.

Fractional CxO (GTM/AI Adoption)

Growth Tribe

Growth Tribe is here to empower adults to always be learning. Our solutions ensure people & organisations can acquire the digital skills they need to adapt, stay up-to-date and in the lead!

We’ve built a reputation for fast-paced, impactful & enjoyable learning, offering training & coaching in Data Science, Analytics, Artificial Intelligence, Growth & Marketing, Innovation, UX Design & Product Management. 

With campuses in 6 European countries, we have supported the learning journeys of over 16,000 adults in over 900 organisations. Our 80+ staff are dedicated to creating Europe’s best learning experiences, to empower humans to always be learning.

Chief Executive Officer

Co-Founder | Head of Growth

Twoodo - The Future Of Teamwork

Grew Twoodo Saas communication tool to 150-200 signups per day with a CAC lower than 2€. 

Twoodo: "Team collaboration for the #hashtag generation."

Twoodo helps your team organize itself using simple #hashtags and @mentions.
Save time. Communicate clearly. Execute fast.

Co-founder and Head of Growth

Blue Lemon Paris

Grew Blue Lemon from a small online e-commerce website to a €3 million+ revenue brand + stores + webshop.

★ Digital Marketing (Content MKT, SEM, SEO, PR)
★ HTML/CSS/Javascript
★ Lean Marketing
★ Lean Analytics
★ Data
★ User Acquisition, Activation, Retention, Referral, Revenue
★ Conversion Rate Optimization | A/B Testing
★ Growth, growth, growth
★ Mobile Growth

Co-Founder & Head of Growth

Maya Trading

★ Business Development
★ Sales
★ Marketing
★ International sourcing
★ Logistics

Ensure continual improvement of our clients' procurement strategies and supply chain flow.

Light consulting: I catered to a number of firms who desired consulting services on setting up a business and buying from China 

(in parallel) Planification, Creation and Implementation of the Blue Lemon Paris brand sales & marketing strategy

Owner & Marketing Director

Sanofi Aventis

★ Driving sales force excellence
★ Development and implementation of business tracking and management tools to help managers and sales teams optimize their time and efficiency
★ Ameliorate communicaiton between Sales and Marketing departments by developing a central communication tool based on sales performance

Business Development

building something autonomous
community-first @ www.thegenaicircle.com
sharing thoughts @ www.heyarnoux.com

Co-CEO

everyone's learning cursor and lovable to build the next big saas
meanwhile 'boring' processes are making people thousands per month without writing code.

again, it's not about the tool you use or how fancy your stack is. it's about the size of the pain you're solving. build boring, build niche.

some simple real examples of specific processes creating large pains in businesses right now:

what's the secret process/pain you know about that no-one else does?

dental pre-authorization checks (dental offices)
→ 30 minutes per patient
→ insurance portals from hell
→ front desk nightmare 
= pain worth $297/month to automate

hvac warranty claim filing (service companies)
→ 45 minutes per claim
→ same manufacturer forms
→ techs hate paperwork 
= pain worth $147/month per tech to eliminate

cemetery plot documentation (funeral homes)
→ paper records everywhere
→ families waiting for info
→ compliance requirements 
= pain worth $397/month to digitize

elevator inspection reports (building managers)
→ quarterly requirement
→ same checklist format
→ violations cost thousands 
= pain worth $247/month for automated compliance

restaurant grease trap logs (qsr chains)
→ health department requirement
→ managers forget constantly and one violation = shutdown risk 
= pain worth $127/month to track automatically

here's another

parking garage revenue reconciliation (operators)
→ daily cash counts
→ ticket validation matching
→ variance reports for owners 
= pain worth $497/month to eliminate errors

how to productize this and sell it? met a founder who's full product was built only on https://appy.ai/

he took that current manual sop 
↓ 
explain to ai in plain english (spend time on this)
↓ 
agent built while chatting with the tool 
↓ 
payments configured instantly 
↓ 
white-label site goes live (promote to network, use lemlist)
↓ 
customers self-serve 24/7 
↓ 
recurring revenue (your expertise on autopilot)

you don't need to make things too complicated

take a process you know, basically explain it to appy like training a new employee. no technical language. just "here's what we check, here's the format needed, here's what compliance wants."

20 min later: live product with stripe payments (then refine after a few customer itws)

not building features. not debugging code. not designing interfaces.

just packaging what already works into something people can buy.

this is builder's era. you don't need to build software. you need to productize what you already know.

your sop is someone else's solution

build boring → grease trap logs make money build niche → one industry, one problem build now → tools like appy remove all friction

that process everyone in your industry hates? that's next month's mrr.
stop vibe-coding? start packaging your expertise.

Founder of GenAI ⚫️ Circle / Humanoidz (Autonomous Venture Studio) / Fractional CxO (AI/GTM)

we just launched nuggetfinder. 

the most powerful system to find and claim validated business ideas. 1200+ live market feeds scanned in real-time = patents, new laws, github activity, funding data, reddit sentiment, google trends, viral campaigns, university papers, accelerator cohort data, job postsings, domain registrations, ad cpcs and much much more… to surface startup ideas where:

→ timing is right (legislation shifts, new compliance rules funding spikes, search surges)
→ competition is weak (but not zero)
→ there's a clear wedge (gap) in the market
→ and there’s actual demand now (not theoretical “maybe someday” demand)

we run a venture studio and built this to scratch our own itch. it was so powerful we decided to release it to the world.

there’s never been more momentum around building… 

but the timeline from idea to launch is now so fast that the old playbook of “build → launch → validate” is backwards. you need validation before you write a line of code

most fail because they build the wrong thing at the wrong time (so did we, but not anymore)

what do we call “nuggets” = clear startup opportunities with defensibility, urgency, and execution simplicity

recent nuggets we've mined:
→ vida e-invoicing compliance tool (mandatory by 2025, 24M smes need a fix or face fines)
→ real-time deepfake KYC checker (eu ai act + gpt-5 = stop fake videos during onboarding)
→ eco compliance dashboard for beauty brands (csrd + greenwashing fines = $3k/mo urgency)
→ sb-53 incident reporter (california ai rules + manual chaos = one-click compliance)
→ eu digital passport scanner (new eco rules + shopper demand = verified sustainability facts)
→ gaia-x certification turbo (data sovereignty rules + manual delays = automate weeks of checks)
→ privacy encryption toolkit (ai regulations + complex tools = one-click protection for enterprises)
→ ethics validator for culture orgs (new funder rules + public risk = scan and fix for grants)

again, this isn’t just a deep research wrapped, or a database of ideas

we built a system that aggregates thousands of feeds and helps you filter the noise and catch the next wave early
→ no more building into saturated markets
→ no more shipping too early or too late
→ no more guessing what people want

we built it because we were tired of watching smart people waste 6 months building a product that never had a shot (including ourselves with our partners)

we're giving away a month of free nuggetfinder pro (only today, all the power), doing this today only…we’d love your support product hunt:

1. ❤️ like
2. 💬 comment “nuggets”
3. 👍 support us on producthunt (to make extra sure)

i’ll dm you the code

what's next? we’ll be building go-to-market apps :)

"we need to analyze all this user feedback" = every startup's famous last words before drowning in spreadsheets...
tip: everything changed when we connected Replit to our google workspace (it changed how we build products)

context: we launch news monthly. feedback pouring in through google forms, sheets, docs. the usual chaos.

traditional approach would be:
→ export everything
→ manual categorization
→ long meetings debating priorities
→ specs for developers
→ wait weeks for prototypes

what we did instead:
logged into replit, connected our google workspace (one click, no api keys), and gave their agent this prompt in plain english:

"pull all user feedback from our google drive, identify the top requested features, create working prototypes for each, and rank them by user impact"

the agent analyzed the feedback + built actual working prototypes.

here's what the agent created:
→ testable prototypes for top 3 features
→ priority matrix based on mention frequency
→ implementation notes for our dev team
→ automated pipeline for new feedback

from feedback to working prototype in under 30 minutes.

the prototypes aren't perfect. but they're real. users can try them. we can iterate based on actual usage, not assumptions.

we're saving time on analysis obviously.... but more importantly we're compressing the entire feedback-to-feature cycle with an agent that actually builds.

imagine: every piece of user feedback automatically turns into something they can actually touch and test. no interpretation layers. no priority debates. just tell the agent what you want in plain english.

that's what happens when you stop trying to optimize workflows and start eliminating them entirely (which i've written many times about before)

i'd encourage you to go test it out... you can build apps & automations on top of your data with connectors (it's with replit agent 3)

who else is tired of the feedback → meeting → spec → build cycle?

#productmanagement #buildinpublic #startuplife #automation #replit

i was chatting with a cto last week (intake call for ai program) and he asked me something that kind of stuck with me. "why is everyone doing ai so differently?" and honestly, after working with maybe 30+ companies on their ai stuff these last 2 yrs, i realized there's basically four ways people are approaching this whole thing. 

and the companies that mess up? 

they're usually trying to do two at once.

here are 4 approached:

→ the spread-it-everywhere approach
this is where you just give everyone ai tools and hope for the best. saw unilever do this actually - they've got ai running in everything from ice cream flavor prediction to supply chain optimization. pretty wild. but they had this whole central team managing it, which is the part most companies forget.

→ the bet-the-farm approach
you know how Volkswagen's going all-in on their autonomous driving platform? that's this. pick one massive ai thing and throw everything at it. i watched a fintech company burn through €15m trying to build an ai financial advisor. (spoiler: they switched strategies)

→ the sneak-it-in approach
my favorite honestly. you just make your product better with ai but never mention it's ai. like how Spotify just knows what song you want to hear next. nobody calls their Discover Weekly "ai" but that's exactly what it is.

→ the show-me-the-money approach
only do ai if you can prove roi in like 3 months. Zalando does this... they'll add ai sizing recommendations because it immediately drops return rates. nothing fancy, just practical stuff that works.

and here's where it gets messy...
i keep seeing companies say they want the volkswagen moonshot thing, but then they freak out when there's no roi after 6 months. or they'll hire some fancy ai team to "transform everything" but then only let them work on tiny projects with guaranteed returns.

worst one i heard of? this company tried to do the spread-it-everywhere thing without anyone actually in charge of it. just bought chatgpt licenses for everyone and called it their "ai strategy." yeah, that went about as well as you'd expect.

the companies that actually make this work? they pick one approach and stick with it. even when it's uncomfortable.

but yeah, moral of the story: pick your ai game before you start playing it. mixing strategies is basically just burning money with extra steps.

this  simple yet elegant prompt brings back chatgpt to what it should be. 

removes confirmation bias, sycophancy and this constant tendency to try to please you

have it handy at all times

i watched the openai demo a couple days ago, it's even more obvious... the whole seo game just changed overnight. users won't even need to visit your website anymore.

they dropped this apps sdk thing where chatgpt basically becomes its own little app store =  so again....users won't even need to visit your website anymore.

like, think about how we used to do things. someone googles something, clicks through to your site, maybe converts. that whole flow? it's kind of done.

now it's just: ask chatgpt → it surfaces an app right there in the chat → transaction happens without ever leaving.

we chatted about this yesterday in a braintrust with marketers in saas, someone asked jokingly "wait, so my entire seo strategy is basically worthless now?"

and honestly? maybe.

here's what i'm seeing:

google had this monopoly on being the starting point for everything online. that's cracking. chatgpt is now deciding which brands show up for which questions. (and we have zero idea how that algorithm works yet)

remember when we all freaked out about google's featured snippets stealing our clicks? that was nothing. chatgpt is building an entire ecosystem where users never need to click anywhere.

the craziest part = all those things we obsessed over for two decades? domain authority, backlink profiles, those 10,000 pages of "seo-optimized" content we wrote?

chatgpt doesn't care about any of it.

it only cares if you can solve someone's problem right there in the conversation.

i think we also all saw that company last week that dominated google for 15 years. massive domain authority. they're nowhere in chatgpt's recommendations. (can't remember the post i saw? anyone have it?).  meanwhile, this tiny startup with a good chatgpt app? they're cleaning up.

anyway, here's what i'm telling everyone:

figure out which queries you absolutely need to own in this new world. not keywords - actual questions people ask.

get on that sdk waitlist yesterday. first-mover advantage is real here.

start small. build a calculator, a product configurator, whatever. just get something live and learn how this works.

(funny thing - i actually started sketching out our chatgpt app strategy in notion last night)

the shift is happening whether we're ready or not. might as well figure it out now before everyone else catches on.

For most, upskilling is a buzzword. At Growth Tribe, we turn it into an engine of growth—no fluff. 1000+ teams serviced.
👉👉 www.growthtribe.io/teams

Jochem H.

so i saw this chart about coding agents the other day and honestly, the whole category is shrinking.

like, look at the 12-week trends. cursor down 18%, replit down 18%, bolt down 31%. even the shiny new base44 that everyone was hyped about - started at 950% growth and now it's at 95%. that's quite the drop.

the traffic share chart shows it: six months ago everyone was trying these tools. now? that total category traffic is down 15% in just the last two weeks.
seems like the pattern is: developer tries it, pays for a month, realizes it's not actually faster for anything beyond toy projects, churns.

and here's what i think is happening (we already knew this...) = these tools are basically great at making demos. you know, the kind of stuff you show in a twitter video. "look, i built spotify in 47 seconds!"

but when you actually try to use them for real work? different story.

funny thing is, we saw this coming from day one. our team's been doing what you could call "vibe coding" for a while now, but we realized early on you need stable scaffolding underneath. you can't just yolo your way through complex systems.

that's actually why we built www.builderbox.ai . we figured out that ai is great at certain things: generating components, suggesting patterns, writing boilerplate.... but it needs structure. proper architecture. guardrails.

just watch anyone try to build something actually complex with one of these pure ai tools. not a demo, but a real system with auth, proper error handling, the works. it's painful. the ai keeps suggesting patterns that looked right but would break at scale. fixing its mistakes took longer than just writing it yourself.

anyway, i'm not saying ai coding tools are useless. but maybe the answer isn't "ai does everything" it's "ai plus proper engineering structure." that's what actually ships.

and we've all been saying/knowing this for a while now right?

so i saw this graphite chart yesterday showing that ai now writes more articles than humans do. we crossed over around may 2025 = basically 52% ai-generated now. here's the thing though...

everyone's freaking out about "model collapse" and ai training on its own outputs. but like, we were already doing this. 

how many human-written articles were just rewording the same press release anyway???

(fun fact: i can usually spot ai content because it's actually more original than the seo farms that used to dominate search results)

you know what's actually changing? the economics. used to cost us maybe $200 for a decent article. now it's basically free to generate like with programmatic seo, (in some cases maybe $50 to have someone clean it up).

and yeah, there's a quality question. but let's be honest... most corporate blog content was already pretty mid. at least now it's consistently mid instead of occasionally terrible.

anyway, this whole "dead internet" thing people keep talking about... i mean, the internet was already full of garbage. now it's just different garbage.

the real shift is that writing itself is becoming less valuable unless you're doing something machines genuinely can't = like having actual opinions based on real experiences.

which is probably why everyone's suddenly so interested in "authenticity" again.

i have to use my actual brain now. i'm lost.

quick v1 of our nuggetfinder demo reel. it's early days so feedback welcome!
i'm still giving out 1 month of free 'nuggetfinder pro'. drop a comment to get it.
as for the video... 
what would you change? remove? keep etc?
voice isn't great yet...but what else?

someone should build this. the timing is perfect.

construction sites are chaos. superintendents walk the site, talk through what needs fixing, snap a few photos, and move on. by the time they get back to the trailer, those quick updates have turned into a mountain of typing: logging tasks, assigning people, uploading photos into Procore. most of it never happens. that’s how tasks slip, rework piles up, and days are lost.

for years, voice tools couldn’t handle jobsite noise, and Procore didn’t allow deep integration. but now, that’s changed. procore’s api is finally open. whisper and other ai transcription tools can pick voices out of drills and generators with near-human accuracy. on-device ai means it all works offline. and crews are already using voice messages daily = it’s second nature.

this is the moment to connect it all.

imagine a foreman finishing a conversation, tapping record, saying: “need to fix cracked concrete on level 2, assign to Miguel, due tomorrow,” and that task just appears in Procore... with a photo, due date, and assignee. no typing, no follow-up, no missed actions.

the shift is happening now. construction is digitizing fast. companies are tracking time, safety, and quality digitally, but updates are still manual. turning voice into structured tasks bridges that last gap.

build a mobile app that captures 30-second voice notes, transcribes them instantly, attaches photos, and syncs tasks to Procore. offline first. noise filtered. one-tap record. dashboard for admins.

charge $29 per user per month or $199 per site. 300 paying sites hits break-even. with 5:1 ltv-to-cac and 7-month payback, the numbers work.

no one owns this space. procore’s native voice notes stop short of task creation. competitors like NoteVault focus on reporting, not action. whoever builds the first true “speak it and it’s done” layer for Procore will define how field teams work for the next decade.

timing is perfect. someone should be building this right now.

👋 drop me a comment (make sure we’re connected) and i’ll dm you the full report with execution plan, mvp strategy, competitor analysis, revenue model, financial metrics and more.

someone should build this. the timing is perfect.

starting 2025, every EU freelancer and small business must comply with ViDA e-invoicing rules. 

invoices that miss a single field or VAT check can get rejected or delay payments. until now, only big-enterprise software handled compliance, and it’s complex, slow, and expensive. but the law hits everyone... and millions of SMEs have no simple way to check if their invoices are valid.

for years, e-invoicing was optional. now it’s mandatory. ViDA rules are rolling out fast from 2025 to 2030. small firms will suddenly need to send invoices that match new EU schemas and country gateways. a wrong XML tag can freeze a payment. freelancers and microbusinesses will panic unless someone gives them a one-click solution.

technology and timing just lined up. cloud APIs, schema validators, and open national gateways are live. OpenAI-based text helpers can even explain what’s wrong with your file. the missing piece is a clean web app that checks, fixes, and sends invoices that pass ViDA instantly.

here’s what to build.

a fast web dashboard for SMEs and freelancers: upload invoice → check → auto-fix → download or submit to the national gateway. add VAT lookup, rule updates per country, and a REST API for accounting tools.

charge €19-€49/month plus €0.05 per invoice. 

target early markets like Italy, Spain, France, and Germany.

reach 5,000 customers in 12 months for €50k+ MRR. CAC payback in 4 months, LTV:CAC ratio 4.3 to 1.

no one owns this SME segment yet. Sovos, Pagero, and EDICOM serve enterprises, not freelancers. the first simple ViDA checker that works across EU languages and countries wins the market.

timing is perfect. someone should be building this right now.

👋 drop me a comment (make sure we’re connected) and i’ll dm you the full report with execution plan, mvp strategy, competitor analysis, revenue model, financial metrics and more.

someone should build this. the timing is perfect.

parents are more anxious than ever about child safety. kids walk to school, sports, and friends’ houses...but streets feel less safe. every city has danger zones: poorly lit alleys, heavy traffic crossings, areas flagged by local reports.

the behavioral change is happening now. schools push safe-route programs. cities release open data on crime and accidents. parents already use location trackers but they don’t solve the *route safety* problem.

the technology just caught up. ai can now combine mapping data, crime stats, and crowdsourced reports to generate the safest walking routes for kids. what used to require manual monitoring now happens automatically in real time.

here’s what to build. a mobile app where parents set school or activity destinations. ai maps the safest route, alerts them to risks, and adjusts live if conditions change. integrates with wearables for instant check-ins.

parents pay for peace of mind. this is a $200k–500k opportunity at launch just from premium subscriptions. expand to schools and city partnerships and the market multiplies fast.

start simple. build for a single city, add layers of safety data, then scale nationwide.

nobody owns this category yet. the timing is perfect to build it.

agentic ai has a local maxima vs global maxima problem. most projects try to automate existing processes... that's not the right approach. hear me out...
you know that famous kodak use case right?... well most agentic ai implementations are making the exact same mistake.

recap: kodak invented the digital camera in 1975. yup. but they spent the next 20 years trying to make it work with film somehow. like, they literally built digital cameras that would print photos on instant film.

that's basically what's happening with agents right now.

most companies implementing this stuff come from the rpa world or heavily ops oriented. so they're measuring success by hours saved or headcount reduced.

but that's like kodak measuring digital cameras by how much film they saved.

saw this at n insurance where i’m doing an ai project. they had agents for claims intake, different agents for verification, more agents for approval. took them forever to realize = why do we have all these handoffs? one agent could just handle the entire claim.

the implementations that actually work? they're not automating workflows. they're eliminating them.

like, instead of asking "how do we make this process faster?" they're asking "why does this process exist?"

more time needs to be spent on governance, like 80% of the time on figuring out governance = what, when to escalate, who's accountable when things break. what happens when two agents disagree? who's accountable when an agent approves something it shouldn't? what are the actual boundaries here?

moral of the story: most are still trying to make their film cameras work better. but the real opportunity is realizing you don't need film at all.

so to finish….probably worth asking yourself: are you optimizing the old thing or building something completely different?

Tim Pubben

someone should build this. the timing is perfect.

csrd rollout from 2024 to 2026 forces over 50,000 european companies to file audited sustainability reports. no extensions. no exceptions. each firm must map data across finance, hr, and operations, align it with esrs templates, and deliver audit-ready disclosures. the deadline is real and teams are already scrambling.

until now, sustainability reporting tools were built for storytelling, not assurance. most rely on manual spreadsheets and consultants. 

the result: slow, error-prone, and expensive. but that era is ending. csrd turns esg from a narrative into a regulated, auditable process. and the tools that automate this shift will win fast.

technology just caught up. api connectors now plug straight into erp and hr systems. ai models can auto-map data to esrs fields and flag discrepancies. prebuilt templates track rule updates automatically. 

the missing piece is a plug-and-play platform that pulls all this together = a true audit-ready csrd engine.

imagine a cfo clicking once and getting a verified csrd report: full data lineage, exportable to pdf, csv, and xbrl, ready for auditors. no consultants, no chaos, no fines. just confidence.

here’s what to build: 
a csrd reporting saas with connectors to sap, oracle, and workday, an esrs rule engine, audit logs, and discrepancy alerts. add a simple ui for mapping, validation, and one-click export. optional auditor access for review.

companies pay for this. tiered annual plans: core €12k, pro €30k, enterprise €50k+. upsell validation packs and partner integrations. land 20 pilots and hit €200k–€500k arr in year two. ltv to cac ratio 15 to 1. payback in 8 months.
no one owns this space yet. big erps move slow, esg apps lack audit depth, and compliance teams need something now. whoever ships a fast, audit-ready csrd tool first defines the category.

timing is perfect. someone should be building this right now.

👋 drop me a comment and i’ll dm you the full report with execution plan, mvp strategy, competitor analysis, revenue model, financial metrics and more.

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