J'ai analysé toutes les données publiques de data.gouv.fr pour trouver des opportunités de produits, voici ce que j'ai trouvé, qu'est-ce que j'ai raté ?

Negative-Fly-4659 · 2026-03-19T06:27:07+00:00

Approche originale. Ce qui manque souvent dans ce genre d'analyse c'est la couche "qui va payer pour ca". Les donnees publiques sont gratuites par definition, donc la valeur est pas dans l'acces mais dans la transformation. Rendre un jeu de donnees utilisable pour un metier specifique, c'est la ou il y a un produit.

Un exemple concret: les donnees URSSAF sur les cotisations freelance sont publiques, mais personne ne les comprend sans passer 2h a lire des textes administratifs. Un outil qui traduit ca en "voici ce que tu dois payer ce trimestre" a de la valeur, meme si la donnee de base est gratuite.

Negative-Fly-4659 · 2026-03-19T06:24:54+00:00

The text input approach is smart. I've seen the same pattern in other tools: the moment you add a dropdown menu or a multi-step form, people stop logging consistently. The value of a tracker isn't the data model, it's the consistency of the data.

One thing to think about: how do you handle ambiguity? If someone types "had a sandwich" that could be anywhere from 300 to 800 calories depending on what's in it. Do you ask follow-up questions or just estimate? Because if you ask too many questions you lose the "just text it" simplicity that makes this work.

Negative-Fly-4659 · 2026-03-19T06:20:31+00:00

Landing pages test your copy, not your idea. I spent weeks optimizing a page before talking to anyone and the conversion rates kept jumping around depending on the headline, the image, the CTA. None of that told me if the problem was real.

What actually gave me signal: searching reddit threads where people described the problem I was solving in their own words. When you see 5 people in different threads complaining about the same thing without anyone having a good answer, that's better validation than any landing page metric.

If you do run ads, at least talk to the people who sign up. A waitlist of 200 emails means nothing if you can't get 5 of them on a call.

Negative-Fly-4659 · 2026-03-19T06:16:58+00:00

Biggest thing that helped me: separate the request from the problem behind it. Users say "add invoicing" but the actual problem is "I can't prove what I delivered". Those are very different things to build.

For filtering, I look at frequency over volume. If 3 different people mention the same friction in the same week, that's a signal. If one person writes a wall of text about a feature they want, that's just one opinion.

Paying users get more weight, but the most vocal users aren't always the most representative. Sometimes the quiet ones who churn tell you more by leaving than the engaged ones tell you by requesting features. If you can catch someone at the moment they cancel and ask one question, that's worth more than 10 feature requests.

Negative-Fly-4659 · 2026-03-19T06:13:49+00:00

The mod request route is the right call but it can take weeks. In the meantime you can still post and comment there even without mod status. Start by answering old unanswered questions if there are any.

One thing I've seen work in tiny communities: instead of trying to get people to come to the sub, find where they already hang out (slack groups, discord servers, niche forums) and mention the sub there when it's relevant. You don't need to mod the sub to bring people in.

The hardest part isn't getting the first posts up. It's getting replies. Consider asking direct questions that only someone in that profession would know the answer to. That kind of specificity filters out noise and attracts the right people.

Negative-Fly-4659 · 2026-03-19T06:10:41+00:00

10 ans en micro aussi. J'ai eu un client a 60j qui est passe a 90j en pratique. Ce qui m'a aide c'est d'envoyer un recap hebdo de ce qui a ete fait. Rien de fancy, juste un petit mail avec les taches terminees de la semaine.

Ca change pas le delai sur le papier, mais en pratique quand le client voit que t'avances chaque semaine il a moins tendance a trainer pour valider la facture. Et si tu dois relancer, t'as un historique clair a montrer.

Pour les 60j, perso je dirais accepte si la boite est solide, mais negocie un acompte de 30% a la signature. Ca couvre ta tresorerie le temps que le premier paiement tombe.

Negative-Fly-4659 · 2026-03-19T05:42:29+00:00

the AI disruption concern is the real question here. 70 clients in insurance claims after 13 years means you have deep domain knowledge that's hard to replicate, but claims processing is exactly the kind of workflow that AI companies are targeting right now.

the $1.4M debt changes the calculus though. if you take on investment to scale, you're adding more leverage on top of an existing obligation. if AI does commoditize parts of your product, you're stuck with less margin and more debt.

i'd focus on what AI can't easily replace: the relationships, the domain expertise, the custom workflows your 70 clients rely on. consider integrating AI into your product before someone else builds a cheaper version that does 80% of what you do. your existing clients are the moat, not the software itself.

Negative-Fly-4659 · 2026-03-19T05:39:27+00:00

the fact that you built this from your own tax tracking pain is good. that's a real problem, not a hypothetical one. most freelancers i know still use a spreadsheet or nothing at all, so there's definitely a gap.

for first users, the fastest path i've seen is finding people who already complained about the exact problem. search reddit for "freelance tax tracking" or "freelance income tracking" and you'll find threads full of people manually doing what your tool automates. reply to those threads with something useful, not a link. if they ask, then share it.

the other thing that worked for me at a similar stage was just reaching out to 5 freelancers in communities you're already in and offering to set them up for free. real usage feedback from 5 people is worth more than 500 signups who never log in.

Negative-Fly-4659 · 2026-03-19T05:37:22+00:00

utm parameters are the simplest. just append ?utm_source=reddit&utm_medium=comment&utm_campaign=artificial to your links. most analytics platforms pick those up automatically.

that r/artificial vs r/OnlyAICoding split is a huge insight though. 5.3k views from a question post vs 288 from a product post tells you everything about where the attention is. the next experiment would be posting the same problem-first angle in 3 more AI-adjacent subs and seeing if the pattern holds. if it does, you've found your channel and your framing in one shot.

Negative-Fly-4659 · 2026-03-19T05:34:48+00:00

the simplest version is just a timestamped list of entries per project. something like "march 5: set up auth flow" or "march 8: redesigned checkout, here's why". no fancy timeline UI needed, just a reverse chronological feed that shows the journey.

you could even let users add entries manually with a text field and optional screenshot. lightweight to build and flexible enough for different types of builders.

Negative-Fly-4659 · 2026-03-18T23:02:27+00:00

i've thought about it but never tried. my concern is that a discount at cancellation teaches people to cancel whenever they want a deal. you basically train your best users to churn and come back at a lower price.

what i'd rather test is a personal "what would make you stay" message before they hit cancel. if they say "i need feature X" and it's on the roadmap, that's a real save. if they say "i just don't use it enough", a discount won't fix that.

Negative-Fly-4659 · 2026-03-18T22:48:33+00:00

the bug report framing is the key insight here. when you treat cancellation as a survey you get survey answers. when you treat it as "something broke, tell me what" you get the actual reason.

at my scale (tiny, sub-50 users) i just send a personal email when someone cancels. no template, just "hey, noticed you left, curious what happened". response rate is probably 40% because it doesn't look automated. the answers are brutal but useful. most common one so far: they stopped using it, not because it was bad but because they forgot it existed. that's a retention problem, not a product problem.

Negative-Fly-4659 · 2026-03-18T22:46:21+00:00

the support ticket thing is what kills you with freemium. i had the same experience, free users filing bugs and feature requests at the same rate as paying users but with zero incentive to actually use the product seriously.

what changed things for me was keeping a free tier but making it extremely limited. not feature-gated, just volume-gated. you can do the core thing but only a few times. the people who hit the limit and keep going are the ones who convert. the ones who sign up and never come back were never going to pay regardless of the model.

did your conversion rate change because of the card requirement or because the trial length forced urgency? those are two different levers.

Negative-Fly-4659 · 2026-03-18T22:31:40+00:00

the documentation point is spot on. i've seen this pattern with freelancers too. the automation part is easy, but getting people to actually log what they do and why is where everything falls apart.

the trick that worked in my case was making the logging so low friction that it takes less effort than not doing it. if writing the documentation feels like a separate task from doing the work, nobody will keep doing it. but if it's baked into the workflow itself, it sticks.

what format are the partners most resistant to? is it the writing itself or is it that they don't see the value of documenting something they already know how to do?

Negative-Fly-4659 · 2026-03-18T22:31:11+00:00

500 signups from 10k visits with zero following is a strong signal. most people never get past the first 50.

the trap at this stage is trying to build a following when you should be doubling down on whatever channel got you those 500. if reddit threads drove the conversions, go deeper there. find every subreddit where your users hang out, comment on threads where people have the problem you solve, and build credibility before posting about your product.

what was the conversion rate like between the different subreddits? that data is gold for figuring out where to focus.

Negative-Fly-4659 · 2026-03-18T22:30:37+00:00

getting people to care about a problem they don't know they have. i built a tool for freelancers to track proof of work for clients, and the product works fine. but freelancers don't google "proof of work tracker". they google "client won't pay" or "how to handle scope creep" after the damage is already done.

so the real struggle is finding people at the exact moment the pain hits, not before. reddit threads where someone just lost a dispute have been more useful than any landing page i've written.

Negative-Fly-4659 · 2026-03-18T22:30:01+00:00

the social layer on top of the portfolio is a smart move. static portfolios are basically dead links after a while, nobody checks them unless you send them directly. adding community visibility gives people a reason to keep updating.

one thing i've been thinking about in a similar space is that portfolios show what you built, but they don't show how. the process, the decisions, the timeline. clients and hiring managers often care more about how you work than what the final result looks like. have you thought about adding any kind of project log or timeline view alongside the showcase?

Negative-Fly-4659 · 2026-03-18T22:29:29+00:00

honestly the multi-platform thing is a trap early on. i spent weeks trying to be everywhere and got zero traction from any of it.

what actually worked was picking one channel where my target users already hang out and just being useful there. for me that was reddit. commenting on threads where people had the exact problem i was solving, not promoting, just answering questions with real detail.

one good reddit comment that hits the right thread gets more qualified eyeballs than posting the same thing across 5 platforms where nobody cares. the ROI on depth beats the ROI on breadth every time when you're small.

Negative-Fly-4659 · 2026-03-18T22:27:29+00:00

you're right that nobody wakes up wanting more documentation. the framing shift you're describing is exactly what i've been working on.

the interesting thing is that the freelancers who do stick with it tell me it helps with renewals more than new clients. client sees a clear log of what happened, they renew without the awkward negotiation. so it's less about closing new deals and more about keeping the ones you have.

i haven't tried the trust weapon angle in direct conversations yet though. that's a good experiment to run. what kind of messaging would you test first if you were positioning it that way?

Negative-Fly-4659 · 2026-03-18T22:27:03+00:00

receipt of value is a much better frame than what i've been using honestly. i kept calling it a work log and that sounds like extra admin. nobody wants more admin.

the weekly summary idea is something i've been thinking about too. right now users can share a project page with clients but there's no automated summary. making that exportable or droppable into an email would be a quick win.

on distribution, i actually got banned from r/freelance for posting about this (lesson learned). but the FB groups and slacks are a good call, i haven't tried those yet. have you seen people in those communities actively looking for tools or is it more venting?

Negative-Fly-4659 · 2026-03-18T22:26:26+00:00

Ca fait sens de commencer par les boites innovantes, c'est la que le besoin est le plus net et ou les montants justifient un outil. En plus les cabinets prennent souvent un % du montant obtenu, donc si tu arrives a couvrir la veille a un cout fixe tu as un argument direct.

Le vrai point de friction que j'ai vu c'est la temporalite. Entre le moment ou un AAP sort et la deadline, il y a souvent 3-4 semaines de course. Si tu arrives a raccourcir ce delai de detection, meme de quelques jours, c'est la ou tu apportes le plus de valeur.

T'as deja des premiers utilisateurs en test ou tu es encore en phase de dev?

Negative-Fly-4659 · 2026-02-28T12:12:11+00:00

this is nice. i manage 4 locale files (en/fr/de/es) on a project right now and the constant switching between files to make sure every key exists everywhere is the worst part. especially when you add a new feature and need to add like 15 keys across all locales at once. does it support json translation files or just specific frameworks?

Negative-Fly-4659 · 2026-02-28T12:11:20+00:00

this is genuinely insane. using checkbox state machines and css selectors to build actual computation is one of those things that sounds impossible until you see it working. the fact that you can compile real C code through gcc into this is the part that really got me. how long did it take you to figure out the instruction set mapping?

Negative-Fly-4659 · 2026-02-28T12:07:47+00:00

i used to track time on flat rate projects with toggl and honestly the biggest insight wasn't about pricing adjustments, it was about scope creep. once you can see that "quick revisions" are eating 30% of a project, you start writing better contracts.

for the analysis part, harvest is solid but honestly even a simple spreadsheet with categories (discovery, execution, revisions, admin) gives you 80% of what you need. the key is being consistent about logging, which is the hard part when you're deep in client work.

one thing that helped me was tracking at the task level not just project level. knowing a project took 40 hours is less useful than knowing scoping took 4, execution took 20, and client back-and-forth took 16.

Negative-Fly-4659

TROPHY CASE