Show HN: I built a social media management tool in 3 weeks with Claude and Codex

https://github.com/brightbeanxyz/brightbean-studio

by JanSchu • 3 months ago

190 131 3 months ago

JanSchu11• 3 months ago

I wanted to test how far AI coding tools could take a production project. Not a prototype. A social media management platform with 12 first-party API integrations, multi-tenant auth, encrypted credential storage, background job processing, approval workflows, and a unified inbox. The scope would normally keep a solo developer busy for the better part of a year. I shipped it in 3 weeks.

Before writing any code, I spent time on detailed specs, an architecture doc, and a style guide. All public: https://github.com/brightbeanxyz/brightbean-studio/tree/main...

I broke the specs into tasks that could run in parallel across multiple agents versus tasks with dependencies that had to merge first. This planning step was the whole game. Without it, the agents produce a mess.

I used Opus 4.6 (Claude Code) for planning and building the first pass of backend and UI. Opus holds large context better and makes architectural decisions across files more reliably. Then I used Codex 5.3 to challenge every implementation, surface security issues, and catch bugs. Token spend was roughly even between the two.

Where AI coding worked well: Django models, views, serializers, standard CRUD. Provider modules for well-documented APIs like Facebook and LinkedIn. Tailwind layouts and HTMX interactions. Test generation. Cross-file refactoring, where Opus was particularly good at cascading changes across models, views, and templates when I restructured the permission system.

Where it fell apart: TikTok's Content Posting API has poor docs and an unusual two-step upload flow. Both tools generated wrong code confidently, over and over. Multi-tenant permission logic produced code that worked for a single workspace but leaked data across tenants in multi-workspace setups. These bugs passed tests, which is what made them dangerous. OAuth edge cases like token refresh, revoked permissions, and platform-specific error codes all needed manual work. Happy path was fine, defensive code was not. Background task orchestration (retry logic, rate-limit backoff, error handling) also required writing by hand.

One thing I underestimated: Without dedicated UI designs, getting a consistent UX was brutal. All the functionality was there, but screens were unintuitive and some flows weren't reachable through the UI at all. 80% of features worked in 20% of the time. The remaining 80% went to polish and making the experience actually usable.

The project is open source under AGPL-3.0. 12 platform integrations, all first-party APIs. Django 5.x + HTMX + Alpine.js + Tailwind CSS 4 + PostgreSQL. No Redis. Docker Compose deploy, 4 containers.

Ask me anything about the spec-driven approach, platform API quirks, or how I split work between the two models.

hyperionultra• 3 months ago

Why postgre instead of classic mysql?

hk__25• 3 months ago

Why mysql instead of postgres should be the right question nowadays.

dewey3• 3 months ago

Postgres isn't a newcomer any more. For most projects that I see it's the default and the "classic" already.

purerandomness2• 3 months ago

MySQL does not let you have transactional DDL statements (alter, create, index etc).

If you're building anything serious and your data integrity is important, use Postgres.

Postgres is much stricter, and always was. MySQL tried to introduce several strict modes to mitigate the problems that they had, but I would always recommend to use Postgres.

JanSchu11• 3 months ago

Postgres is simply a battle proven technology.

faangguyindia• 3 months ago

such apps should use sqlite. it's enough for this type of app.

eb0la• 3 months ago

MySQL or Postgres are the DB of choice if you want a managed database in the cloud.

Probably Postgres is there because you can use it as a queue (https://livebook.manning.com/book/just-use-postgres/chapter-...)

incidentnormal• 3 months ago

What did your harness look like for this?

stavros2• 3 months ago

This is interesting, how do you publish to LinkedIn? I thought they didn't allow automated posts.

dewey3• 3 months ago

Seems to just use the website api: https://github.com/brightbeanxyz/brightbean-studio/blob/main...

dewey3• 3 months ago

Thank you for this write up, this is much more interesting than all the "Show HN" that don't mention anything about AI but you can see it on every corner.

What you describe has also been my experience so far with building projects mostly with AI but with detailed specs but Rails instead of Django.

hk__25• 3 months ago

Nothing wrong here, but Django/HTMX seem quite 'old' technologies to me for a new project made in 2026. Nowadays I use FastAPI/SQLAlchemy for the backend and SvelteKit on the frontend.

JanSchu11• 3 months ago

I do have originally a data science background, thus python is usually my go to language, and have a lot of experience with django already. This helps a lot when reviewing AI code and if you have to judge architecture, etc.

And for hmtx I simply wanted to have something lightweight that is not very invasive to keep things simple and dependencies low.

In my head this was a good consideration to keep complexity low for my AI agents :-)

_heimdall• 3 months ago

HTMX is 5 years old, version 2 is just under 2 years old, and the last release (2.0.7) came out 7 months ago.

JodieBenitez• 3 months ago

Django/HTMX seem quite 'old' technologies to me for a new project made in 2026.

It's simple, it works, it's efficient, safe, and there are tons of online resources for it. Excellent choice, even more so when using a coding agent.

rrr_oh_man• 3 months ago

You don’t need a Drillator-X 3000 AI Ready™ if a simple screwdriver gets the job done. IMHO the main thing technical people get wrong about B2B problems.

Also calling HTMX old makes me feel old.

purerandomness2• 3 months ago

FastAPI is quite old (2018)

Svelte even older (2016, SvelteKit was just an new version in 2022)

SQLAlchemy is ancient (2006)

Use newer tech, like HTMX (2020)

(/s obviously)

jbk• 3 months ago

This is amazing. I started doing the same, but I did not have the time to polish it.

Questions: why no X? Do you have a feature to resize (summarize?) to the text to fit into short boxes?

qingcharles3• 3 months ago

Maybe because of the API access issues? I built almost the same system as OP, but I had to drive a browser to post to X because the API was too expensive for a single person to afford. A few weeks ago they switched it so it's pennies a post now and I could finally integrate the API.

mrsekut• 3 months ago

That was an interesting article. I have a few questions about the workflow.

1. You mentioned developing tasks in parallel—how many agents were you actually running at the same time? Did you ever reach a point where, even if you increased the degree of parallelism, merging and reviews became the bottleneck, and increasing the number further didn’t speed things up?

2. I really relate to the idea of “80% of features in 20% of the time, then 80% on polish.” Did you use AI for this final polishing phase as well? In other words, did you show the AI screenshots of the screens and explain them? Also, when looking back, do you feel that if you had written the initial specifications more carefully, you could have completed the work faster?

JanSchu11• 3 months ago

What I did was to break the development into different layers which had to be completed after another, since the functionalities build on each other. Each layer had independent work streams which run in parallel. Each work stream was one independent worktree/session in Claude code

First I triggered all work streams per layer and brought them to a level of completion I was happy with. Then you merge one after another (challenge in github with the @codex the implementation and rebases when you move to the next work stream.

This is roughly how it looked like:

Layer 0 - Project Scaffolding

Layer 1 — Core Features Stream A — Content Pipeline Stream B — Social Platform Providers Stream C — Media Library Stream D — Notification System Stream E — Settings UI

                        T-0.1 (Scaffolding)
                              │
                        T-0.2 (Core Models + Auth)
                              │
          ┌───────────────────┼───────────────────┬──────────────┐
          │                   │                   │              │
     Stream A            Stream B            Stream C       Stream D
     (Content)           (Providers)         (Media)        (Notifs)
          │                   │                   │              │
     T-1A.1 Composer    T-1B.1 FB/IG/LI    T-1C.1 Library  T-1D.1 Engine
          │              T-1B.2 Others           │              │
     T-1A.2 Calendar         │                   │         Stream E
          │                  │                   │         T-1E.1 Settings UI
     T-1A.3 Publisher ◄──────┘                   │
          │                                      │
          └──────────◄───────────────────────────┘
          (Publisher needs providers + media processing)

Layer 2 — Collaboration & Engagement Stream F — Approval & Client Portal Stream G — Inbox Stream H — Calendar & Composer Enhancements Stream I — Client Onboarding

          Layer 1 complete
                │
    ┌───────────┼───────────┬──────────────┐
    │           │           │              │
 Stream F   Stream G    Stream H       Stream I
 (Approval  (Inbox)     (Calendar+     (Onboarding)
  + Portal)              Composer
    │                    enhance)
 T-2F.1 Approval
    │
 T-2F.2 Portal

Thus I did run up to 4 agents in parallel, but o be honest this is the max level of parallelism my brain was able to handle, I really felt like the bottleneck here.

Additionally, your token usage is very high since you are having so many agent do work at the same time, hence I very often reached my claude session token limits and had to wait for the next session to begin (I do have the 5x Max plan)

dontwannahearit• 3 months ago

How much of the specs themselves came from the LLM? The development schedule https://github.com/brightbeanxyz/brightbean-studio/blob/main... has very AI-looking estimates for exampl and I can see a commit in the architecture.md file which is exclusively changing em-dashes to normal dashes (https://github.com/brightbeanxyz/brightbean-studio/commit/74...) which suggests you wanted to make it seem less LLM-generated?

I ask, not to condemn, but to find out what your process was for developing the requirements. Clearly it was done with LLM help but what was the refinement process?

JanSchu11• 3 months ago

The spec document was also written by Claude (over many iteration) and lots of manual additions. It took me tho 4 full days to get the specs to the level I was happy with.

One main thing I did was to use the deep research feature of Claude to get a good understanding of what other tools are offering (features, integrations etc.)

Then each feature in the specs document got refined with manual suggestions and screenshots of other tools that I took.

hirako20002• 3 months ago

How much do it cost in token?

qingcharles3• 3 months ago

I built something very, very similar using Github Copilot and the whole thing cost me less than the $10/mo I spend because I know I still had credits left after I was done.

vladsanchez2• 3 months ago

First, congrats on your accomplishment(s) and leveraging your AI+Python+WebDev talents.

Isn't this a SaaS-pocaplyse testament? What's stopping anyone from doing the same to BrightBean? What's stopping anyone with a little of domain knowledge and a $200+ Claude to clone your app and build yet another gap-filling, slightly improved content-syndication version and go-to-market? Is it worth taking it to the market when anyone can perpetuate the cycle?

I'm genuinely interested in knowing your thoughts.

DrammBA• 3 months ago

Isn't this a SaaS-pocaplyse testament? What's stopping anyone from doing the same to BrightBean?

It being open source doesn't help it either, so easy to malus/chardet it.

JanSchu11• 3 months ago

My personal opinion is that it will be extremely difficult in the future to monetize plain software. Either you need a very strong edge and unique angle for your distribution or you have to build a product that cannot be reproduced by agents that can build software.

This will be 2 types of products.

1. A product which requires tech that is not inside the training data distribution of the models underlying coding agents. This is usually then very cutting edge.

2. A product that uses data/insights to generate value for a customer to which a coding agent has no access.

These are the only abstract moats I can think of, the rest will be a race to the bottom

qingcharles3• 3 months ago

I built something very, very similar for a client to post their content on schedule to about 9 different social networks. It was my first major vibe-coded app -- I normally vibe-code a function or small apps. Took about two hours with Claude [0] by just building up the functionality in layers, testing each layer as we went. If I'd rawdogged it, 2022-style, it would probably have taken me a month to write.

It's been running flawlessly for months without a single error. In fact, spooky good. I still feel nervous about it, though and check it every morning.

It is built mostly as a web app in .NET 10 Razor with SQLite db.

The APIs for the social networks are the hazy bit. As OP mentions, some are badly documented. Some are a pain to get access to. I was using a driven browser to post to Twitter, but they opened their API recently, which was nice.

[0] I used Claude in Github Copilot, so total cost was less than the $10/month in credits.

SeriousM2• 3 months ago

Recently I built a "azure devops deployment central" tool just because microsoft is unable to make their ui usable at scale.

The tool shows all pipelines, builds, buildagents and approval ready in one place at a glance. For the most actions I use the public api but approval I use the internal api because they are still not public, since 4 years.

The tool runs so smooth it scares me too! My guess is that the apis are so stable that it will work for the next 10 years.

benmarten• 3 months ago

No x?

cyanydeez2• 3 months ago

Do people still think twitter is a valuable place (besides being bot owners).

brobdingnagians• 3 months ago

It seems like geopolitical statements and international announcements happen a lot on Twitter/X these days.

bengale• 3 months ago

I know some people have ideological things going on that make them choose different networks, but they have more than half a billion active users so it's not exactly a ghost town.

grvdrm• 3 months ago

I’m not a power user/poster but I see it as no less valuable than many other similar places. All of them have similar problems. For me it’s probably bifurcated by time spent tuning the feeds.

threesmegiste• 3 months ago

Value? Are others valuable? Why are they buying bots if there's nobody else? At least it's an RSS reader :)

forsalebypwner• 3 months ago

their API is insanely expensive

JanSchu11• 3 months ago

I did not include it yet, because you have to pay for the API. They changed their pricing model recently to pay only per request. I'll be looking into it the next weeks

donohoe• 3 months ago

I’d argue it’s not worth it. Engagement and referral traffic from it continue to tank.

FireInsight• 3 months ago

I am genuinely in the "target market" for a tool such as this, but having evaluated one previously I found the quality and self-hosting experience to be pretty bad, and that a proprietary freemium product was still a better experience.

I'm hesitant to even take a look at this project due to the whole "vibe coded in 3 weeks" thing, though. Hearing that says to me that this is not serious or battle-tested and might go unmaintained or such. Do you think these are valid concerns to have?

spicyusername• 3 months ago

We're entering an era where the delivering of software is cheap. Basically any idea can have an MVP implemented by one or two people in just a month or two now. Very quickly the industry is learning what the next set of bottlenecks are, now that the bottleneck is no longer writing code.

Planning, design, management alignment, finding customers, integrating with other products, waiting for review, etc. Basically all the human stuff that can't be automated away.

Your comment reminds me to add building a support team to the list.

localhoster• 3 months ago

Was it ever? Even before llm, writing software, or at least web clients, was as easy as it can get.

jcmeyrignac• 3 months ago

Delivering is cheap, but maintenance is expensive... if not impossible!

baq• 3 months ago

You can vibe code minor fixes to some annoyances including the clanker managing the whole fork/pull request flow if you want to contribute back for $20/mo on codex or claude (though $20 is the free trial tier there, codex is nearly so since last week but should be good enough... for now).

63stack• 3 months ago

The era of sharing some small programs that you made with others to benefit from is over imo.

You can just vibe code it yourself. If your requirements are narrower (eg. you only need support for 3 networks and not 12), you will end up with something that takes less time to develop (possibly less than a day), it will have a smaller surface for problems, and it will be much better tailored to your specific needs. If you pay attention to what the LLM is doing it will also be easier to maintain or extend further.

The surface for security vulnerabilities also gets narrower, since you "only" have to trust the LLM (which is still a huge ask, but still better than LLM + 1 random person).

ninkendo3• 3 months ago

The era of sharing some small programs that you made with others to benefit from is over imo. You can just vibe code it yourself.

+1.

The password manager I use full time now is “Kenpass”, which has exactly one user: me. I have it on iOS/macOS/Linux, browser extensions, CLI and (native, no electron) UI for each, syncs with my homelab server over my wireguard tunnel, and it covers all my use cases. Took me maybe a week (a few hours total, spread around.) I feel no reason to share it with anyone, it does exactly what I need and I only need to fix the bugs I find, for myself.

We’re really living in crazy times.

If you pay attention to what the LLM is doing it will also be easier to maintain or extend further

That's another nice part: I actually really enjoy feng-shui refactoring code to fit my tastes, and I've given the LLM's code a bunch of refactoring passes essentially "just for fun". I understand the codebase enough that sometimes I implement features myself instead of having the LLM do it, if I'm in the mood to. But I'd probably never have the time or energy to start such a project from scratch... having the initial MVP done in essentially one shot was a huge boost.

ElFitz• 3 months ago

The surface for security vulnerabilities also gets narrower, since you "only" have to trust the LLM (which is still a huge ask, but still better than LLM + 1 random person).

On top of which, any such vulnerabilities will be mostly low value: n different implementations, each with their own idiosyncrasies, 90% of them serving one person.

theshrike792• 3 months ago

Nah, my whole Github is open. I've always "shared" what I do.

I just don't go run around different social media sites advertising my stuff. I built it for myself, if someone else likes it, they can use it.

If they want a feature they are free to suggest it, but I'm also free to ignore their wishes completely if I don't need the feature. It's an open license, they can fork it.

m0002• 3 months ago

I agree. It's not like this project is disrupting an overpriced product/SaaS.

E.g. Buffer charges around $50 per year per social media account, which gives you an unlimited number of collaborating user accounts. And their single user plans are even cheaper.

I don't see how self-hosting would be a worthy investment of your time/effort in this case, unless you are in some grossly mismanaged organization where you have several devops engineers paid for doing literally nothing.

bryanhogan2• 3 months ago

$50 is a high price to ask, no? And I just looked it up, it's actually even more than that.

Consider having an account for each common social media platform, then multiply that for every project, that grows quickly.

deaux3• 3 months ago

I know solo bootstrappers who have 5+ accounts across platforms for one app, it's quite normal for B2C.

TrackerFF2• 3 months ago

Lots and lots of commercial software is being vibe coded. Big difference here is that at least the OP honest about it.

bdangubic2• 3 months ago

I think our industry really needs to get on top of terms / names and fast. To me, “vibe coded” means “100% (or close to it) of this was written by LLM and I do not have a slightest clue about technology or hacking or anything related to this domain.” if this is the case here (or anywhere else) I am not touching it with a 10-foot pole (even with honesty of the author). something like “LLM assisted” would be a whole other thing.

sixtyj2• 3 months ago

I see your point.

Last time I “vibe coded” something (internal) and I liked it because I couldn’t find external solution.

I admire coders who can finish their code into deliverable and usable piece.

Issue here is software abundance and ppl will start to hesitate due to absurd pile that they should evaluate.

It reminds me the statistics of ice cream global sales. People want certainty so they choose chocolate or vanilla :)

Therefore many good software projects will have a problem to find users.

swasheck• 3 months ago

i think we need to encode (or refine) what we mean by “vibe code.” my original impression was that it was used to describe the process whereby someone with an idea but lacking development/engineering skills leveraged llm via an agent to create the mechanics to bring their idea to fruition. anymore it seems like if it has the hint of AI then it’s “vibe coded.”

ironically, i didn’t read the article because i come to comments now to see if its been identified as AI slop, so i don’t know which area this falls into

bryanhogan2• 3 months ago

I think the same way, I'd love a social media management tool, all of the ones I found were insanely expensive or not usable / had horrible usability issues. Pitching a product by telling me it's built quickly with AI does the opposite of convincing me to try it, even though I'm in the market for the solution offered.

pablogiuffrida• 3 months ago

i did something similar, and i agree that 3 weeks sounds like a tight timeframe. You need to test what "vibe coding" delivers VERY thoroughly.

It can be done though. And i say it as a developer for 20 years now.

jrm4• 3 months ago

My gut is -- of course these concerns are valid, but, especially with "newfangled" software projects like this, I'd genuinely be surprised to see major quality differences between "human" and "vibe-coded."

I think what I mean by "newfangled" is; this isn't a low-level C memory managed bit flipping thing; this is the sort of thing that's already built on top of layer of layer of the cruft that the web already is, for better or worse.

ms7892• 3 months ago

Woah! I was looking for something like this from a long time

themonsu• 3 months ago

Does it work with multiple social accounts? E.g. if I have 100 customers whose social medias I manage for content posting.

JanSchu11• 3 months ago

yes

nottorp• 3 months ago

Is it in Rust too?

throwatdem12311• 3 months ago

Why does it matter how long it took you to make it?

domo__knows• 3 months ago

Legitimately cool project OP. As a Django developer working in the social space I'm sure I'll be referencing your workflows.

xnx2• 3 months ago

Isn't automated posting forbidden by most platforms, and will risk getting any account banned?

hirako20002• 3 months ago

That depends on the platform. And can change at any moment. The same applies to paid for tool..this merely makes it open source/ self hosted.

JanSchu11• 3 months ago

Each platform has an api that you can use to post. You just have to setup a developer account for each platform

samteeeee2• 3 months ago

setting up the developer account is easy, but getting approval from each platform is quite tedious! I've recently been thru it with my social media scheduling tool (mallary.ai), did you get approval from all the platforms yet?

ipaddr• 3 months ago

I was hoping this was the opposite of a creators platform - a social media users platform. Download all social media to one place (stories/posts) where you can view on your own schedule.

Is there anything like that out there?

echelon• 3 months ago

You can build one in three weeks with Claude. I'm not joking - you'll have energy for side projects you never had before, and you'll finish them.

vlachen• 3 months ago

I'm taking the submission as: if you've got an idea, here's some methods to work build something.

I have a few ideas if my own, perhaps yours is something that could be created.

foobar_______• 3 months ago

Same. I was hoping for this. As much as social media frustrates me, the content can be great at times. I want an aggregation tool where I have strict control on the output. Give me the content minus the addictive never ending scroll with inflammatory posts. Basically, I want a benevolent curation of media on my terms.

itherseed• 3 months ago

I want the same. The problem is that this kind of tool is outside the T&C of the platforms, and if they catch you using it, you would probably be banned or suspended. There will be always a small risk of that.

jezzamon• 3 months ago

Platforms really don't want you to build that. But depends on what platforms your talking about, open ones like bsky and mastodon could allow for something like that

xnx2• 3 months ago

Big upvote for this. I want an "agent" (overused term) to scroll through all the user-hostile feeds and present what I actually want to see in a calm, ad-free, manner.

Tools like instaloader are a start, but screen scraping might be the best bet to avoid detection/banning.

jareklupinski• 3 months ago

RSS can get you there, lots of clients but you have to teach your friends how to make their own websites and set up a feed

made me think of Pidgin, the chat client that could talk to any chat server

latchkey• 3 months ago

Someone just posted this: https://www.socialcrawl.dev/

banbangtuth• 3 months ago

Just curious. Why Python? Why not say, Go or TypeScript? Yes you can make TypeScript server rendered too without React stuffs.

alexdobrenko• 3 months ago

has there been any final word on whether social platforms are throttling posts that come from platforms like this?

samteeeee2• 3 months ago

tiktok certainly seems to prefer if you post a draft using api and then manually publish it using the tiktok app on your phone, but the other platforms like youtube, instagram and facebook don't seem to mind. Its also recommended that you warm up an account manually before posting to it using an api. I've recently built and agent first social media scheduling tool: https://mallary.ai

pbiggar• 3 months ago

Can you add support for UpScrolled? https://upscrolled.com/en/

JanSchu11• 3 months ago

I'll add to the implementation list

kuba-orlik• 3 months ago

I don't get it. The app is about social media, but its website is smth about YouTube Intelligence API for AI Agents. Not sute what to make of it

criddell• 3 months ago

Nice! A bot-built tool for posting content mostly generated by other bots and engaged with by bots.

I don't mean to belittle the cool tool you made, I'm just grumpy about the loss of what the social network could have been and what we got when it morphed into social media.

BatFastard• 3 months ago

what do you imagine the social network would/could/should become? Obviously what we have is not working for some folks.

slake• 3 months ago

I actually like 2006 twitter. Almost pleasant because of its obscurity.

- Only 140 characters - Increasing that added to the slop. Brevity was soul - No 'For you' algo. You had to find and follow the people you wanted to follow and then read all of their posts - RTing it was literally adding RT in front of the other person's tweet. - There was a 'like' icon (I think - don't remember) - There was no paid 'verified' accounts. You had to signal your official twitter account through different means. - There was no monetization for random clickbait ragebait content. - Ads are not that intrusive on twitter. That as a monetization strategy still works. - You only discovered people and not content.

slopinthebag• 3 months ago

AI generated README, AI generated code, and the creator can't even be bothered to write comments without generating them with AI (which btw goes against the rules of this site). How is this being upvoted - did the creator use his own tool to bot this submission?

iqihs• 3 months ago

probably AI upvoted as well, i'm flabbergasted as to how something like this can end up on the front page

cistseljak• 3 months ago

good luck with your endeavors.

michaelavina• 3 months ago

I think it’s great work!

hickmandev• 3 months ago

Nice, I've been trying to try something like this but I wasn't sure if paying to try was affordable. Will give it a good look to this. Great Work.

thomasquarre• 3 months ago

Really impressive to ship something this complete in 3 weeks. The multi platform scheduling problem is genuinely hard, especially around OAuth token refresh and rate limit handling across networks like LinkedIn and Instagram that have particularly strict policies.

Curious how you handled the queue and retry logic when a scheduled post fails partway through on one platform but not the others. Did you end up building a per platform state machine or something simpler?

ali_mouiz• 3 months ago

Spec-first was the unlock for me too. The agent drifts badly without it. Your point about defensive code is spot on, happy path works fine, but retry logic, edge cases, error handling all needed manual work in my experience too. The 80/20 observation is real. Functionality is fast, making it actually trustworthy takes most of the time.

I also added tons of unit-test, it helped ai agent to detect regression while producing code.

jusasiiv• 3 months ago

Lots of questions already about the project so Ill ask about your vibe coding experience. After the project has grown have you found it harder to upkeep the project with AI? Also did you use any structuring while working with Claude/Codex like first planning the tasks on separate documents, or did you just work with prompts and the context that were generated on the sessions?

cyuille• 3 months ago

Do you plan on adding support for other platforms? Like Reddit or Twitter/X?

gmatt• 3 months ago

Curious on the choice of AGPLv3?

Technically that forces anybody who would modify it/use it as a baseline for their own product to share the source code.

Is this a purposeful decision?

Show HN: I built a social media management tool in 3 weeks with Claude and Codex

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