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u/CallmeAK__

Using an AI agent as a “first‑pass reviewer” for my GitHub repos 😅
▲ 0 r/softwaredevelopment

Using an AI agent as a “first‑pass reviewer” for my GitHub repos 😅

I’ve been experimenting with a little tool that sits in front of my GitHub repos and basically acts like an AI “first‑pass reviewer” or onboarding test. You paste a repo link, it spins up an isolated environment and an agent actually goes through the motions – cloning, installing, running commands – while recording everything as a short narrated video.

The interesting part for me is how this fits into workflow/methodology: instead of a human doing the very first smoke test, I can send the agent in, watch the replay, and see where the setup or documentation falls apart before anyone on the team wastes time. I even tried prompts like “brutally roast this repo” on one of my projects and the video turned into a surprisingly honest teardown of my onboarding path and assumptions 😭

Feels like it could be a lightweight extra step alongside code review / CI to catch DX and setup issues earlier. If anyone wants to play with the same thing, this is what I’m using:
https://go.videodb.io/TryMyRepoRe

Curious if anyone else is using agents this way in their dev process or has ideas for integrating this kind of “agent run + replay” into existing methodologies like Scrum/XP/QA gates.

u/CallmeAK__ — 1 day ago
▲ 8 r/projects+1 crossposts

I let an AI agent run my GitHub repo and roast it on video 😭

Been playing with this fun little thing that basically turns GitHub repos into missions for an AI agent 🤖

You paste in a repo link, it spins up an agent in a sandbox and just… lets it go. Then it sends you a short narrated video of the whole run: cloning, installs, tools it tries, the dumb mistakes, cryptic errors, retries, and whether it actually gets the project running or gives up 💀

I asked it to “brutally roast this repo” on one of my own projects and yeah, it delivered 😭
It started calling out my setup steps, pointing at janky DX, complaining about unclear assumptions in the README, and generally behaving like a slightly pissed off senior agent doing a live codebase + onboarding review. Hurt a little, not gonna lie, but super useful lol

If you’re into agents actually touching real code instead of toy examples, this is the thing I used:
https://go.videodb.io/TryMyRepoRe

Feels like giving an AI agent a real job: “here’s a repo, go try to run it, record everything, then tell me what sucked” 😅

u/CallmeAK__ — 1 day ago
▲ 2 r/AI_Agents

I found a really cool tool that turns GitHub repos into missions for AI agents lol, an agent tries it for you - run, review, explain, roast it 😭

I’ve been experimenting with a tool that turns GitHub repos into little missions for AI agents. You paste a repo, choose a mode like run/review/roast, and it spins up an agent in a sandbox, records the desktop/terminal/browser, then returns a narrated video of the entire session.

I tried a “brutally roast this repo” prompt on a random repo and the result is basically a DX review driven only by the actual agent run: install attempts, misconfigurations, dead ends, the moment it finally works, etc. It’s an interesting way to use agents as first‑pass repo evaluators with concrete replayable evidence.

If you’re into agent workflows and tooling, I've pinned this tool in the comments :))

reddit.com
u/CallmeAK__ — 1 day ago
▲ 0 r/coolgithubprojects

Tool that records an AI trying to run your GitHub repo (and roasting it)

Been messing with a tool where you paste a GitHub repo and an AI agent tries to run it while screen‑recording everything. It then spits out a narrated video of the whole attempt – terminal output, browser, errors, retries, the eventual “it works” or “it died”.

I ran it on a random repo and asked it to “brutally roast this repo”, and the commentary was… harsh but fair. It only talks trash about things it actually ran into during the execution, which makes it weirdly honest.

If anyone wants to see what their repo looks like to this thing, here’s what I used: https://go.videodb.io/TryMyRepoRe.

u/CallmeAK__ — 1 day ago
▲ 2 r/AI_Agents

Agents are moving into browsers, apps, meetings, dashboards, and code editors.

The next generation of agents will need more than text context — they need to see what is happening, hear what is being said, remember important moments, and act with richer awareness.

VideoDB is hosting a 48-hour online hackathon around exactly this idea.

The focus is simple: build an agentic experience that uses video/audio context in a meaningful way — screen capture, meeting memory, live stream understanding, searchable workflows, media-aware copilots, second-brain style recall, or anything similar.

A few example directions:

  • A second brain that lets an agent answer “Where did I see that chart?”
  • A coding agent with screen + voice awareness
  • A meeting/workflow memory layer
  • An agentic stream that researches and generates video briefings
  • A copilot for tutorials, demos, lectures, or surveillance feeds

It’s global, online, and open to solo builders (teams of 2 allowed). All participants will get enough credits to build, and VideoDB already offers free credits to explore beforehand.

Prizes:

  • $1,500 — 1st place
  • $1,000 — 2nd place

Dates:

  • Opens: May 16, 2026 — 10:00 AM IST
  • Closes: May 18, 2026 — 10:00 AM IST

If you’re into AI agents, devtools, multimodal workflows, or open-source experimentation, this could be a fun weekend build.

Registration link in comments...

reddit.com
u/CallmeAK__ — 7 days ago
▲ 4 r/AiBuilders+2 crossposts

Agents are moving into browsers, apps, meetings, dashboards, and code editors.

The next generation of agents will need more than text context — they need to see what is happening, hear what is being said, remember important moments, and act with richer awareness.

VideoDB is hosting a 48-hour online hackathon around exactly this idea.

The focus is simple: build an agentic experience that uses video/audio context in a meaningful way — screen capture, meeting memory, live stream understanding, searchable workflows, media-aware copilots, second-brain style recall, or anything similar.

A few example directions:

  • A second brain that lets an agent answer “Where did I see that chart?”
  • A coding agent with screen + voice awareness
  • A meeting/workflow memory layer
  • An agentic stream that researches and generates video briefings
  • A copilot for tutorials, demos, lectures, or surveillance feeds

It’s global, online, and open to solo builders (teams of 2 allowed). All participants will get enough credits to build, and VideoDB already offers free credits to explore beforehand.

Prizes:

  • $1,500 — 1st place
  • $1,000 — 2nd place

Dates:

  • Opens: May 16, 2026 — 10:00 AM IST
  • Closes: May 18, 2026 — 10:00 AM IST

If you’re into AI agents, devtools, multimodal workflows, or open-source experimentation, this could be a fun weekend build.

Docs: https://docs.videodb.io

Showcase / inspiration: https://videodb.io/showcase

RSVP: RSVP

u/CallmeAK__ — 7 days ago
▲ 9 r/hiring

Hi all,

I’m sharing a paid opportunity from VideoDB, an AI-native video/audio infrastructure company.

They’re running Growth Forge – a short, 14‑day remote sprint where a small group of growth‑minded builders design and ship a “growth agent” for VideoDB: a system that can find, reach, activate, and learn from the right users without needing manual pushes at every step.

This is a competitive sprint with limited spots.

What you’ll do if selected

During the sprint, each selected builder will:

  • Pick one growth metric to own end‑to‑end
    • Examples: signups, activation, GitHub → usage, or content → pipeline
  • Design a repeatable growth loop around that metric (not just a one‑off campaign)
  • Use VideoDB’s existing agentic stack – browser-use agents, research APIs, attribution dashboards, etc. – to implement it
  • Ship the growth agent into production within 14 days and run multiple experiments
  • Let the system run through a short proving period to show it works with low manual involvement

You’d work remotely, asynchronously, with support from VideoDB engineers to get your system into a robust, running state.

Compensation & upside

For builders who are selected and complete the sprint:

  • $500 USD on successful sprint completion
  • $1,000 USD performance bonus if your agent beats VideoDB’s internal baseline on the metric you chose
  • A public case study of your work, co-published with your name on it
  • The strongest performer will be considered for a Growth Lead role at VideoDB
  • Other top performers may be invited into deeper, ongoing collaborations

So the realistic range for this sprint is $500–$1,500 USD, plus potential longer‑term upside if there’s a strong mutual fit.

Who should consider applying

This is likely a good fit if you:

  • Have shipped real things before (products, growth systems, automations) and can share links
  • Think in loops and systems, not just isolated campaigns or posts
  • Are comfortable using AI tools/agents, or are willing to learn quickly
  • Can commit focused, hands-on time during the 14‑day window to build and iterate

Nice to have:

  • Experience with developer tools, SaaS, or AI products
  • Familiarity with funnels, attribution, and basic analytics

Details & how to apply

  • Location: Remote
  • Format: Short, paid sprint (competitive selection, limited spots)
  • Duration: 14‑day build sprint + 10‑day proving run
  • Compensation: $500 base + up to $1,000 performance bonus for selected builders

Full breakdown of Growth Forge and the application form:
👉 Check it out here

Please apply via the link above rather than in the comments so everything stays organized.

Happy to answer quick clarification questions here as long as the thread doesn’t turn into an application queue.

u/CallmeAK__ — 9 days ago
▲ 6 r/forhire+1 crossposts

Hi all,

I’m sharing a paid opportunity from VideoDB, an AI-native video/audio infrastructure company.

They’re running Growth Forge – a short, 14‑day remote sprint where a small group of growth‑minded builders design and ship a “growth agent” for VideoDB: a system that can find, reach, activate, and learn from the right users without needing manual pushes at every step.

This is a competitive sprint with limited spots.

Scope of work

During the sprint, each selected freelancer will:

  • Pick one growth metric to own end‑to‑end (signups, activation, GitHub → usage, or content → pipeline)
  • Design a repeatable growth loop around that metric
  • Use our existing agentic stack (browser agents, research APIs, dashboards, etc.) to implement it
  • Ship the system into production and run several experiments during the 14 days
  • Let it run through a short proving period to show it can operate with low manual input

You’ll work closely (async, remote) with the VideoDB team and have engineering support for the technical pieces.

Compensation & upside

  • $500 USD on successful sprint completion
  • $1,000 USD performance bonus if your system beats our internal baseline on your chosen metric
  • A public case study of your work with your name on it
  • Top performer will be considered for a Growth Lead role at VideoDB
  • Other strong performers may be invited for ongoing collaborations

So realistic range for the sprint is $500–$1,500 USD, plus career upside if there’s a strong mutual fit.

Requirements

We’re looking for freelancers who:

  • Have already shipped something (product, growth loop, automation, etc.) and can show links
  • Think in systems/loops, not just one‑off campaigns
  • Are comfortable using AI tools/agents, or can learn quickly
  • Can dedicate focused time over the 14‑day window to build and iterate

Nice to have:

  • Experience with developer tools, SaaS, or AI products
  • Familiarity with funnels, attribution, and basic analytics

Details & how to apply

  • Location: Remote
  • Duration: 14‑day build sprint + proving period
  • Budget: $500 base + up to $1,000 performance bonus per freelancer
  • Slots: 5 freelancers

Full breakdown of the sprint, timelines, and application form:
👉 Check it out here

Please use the link above to apply (they have a short form).
Feel free to ask clarification questions here, but no applications in the comments so we don’t clutter the thread.

u/CallmeAK__ — 9 days ago
▲ 0 r/developers

Hey all — wanted to share something that might be interesting if you enjoy working with AI, automation, and building systems that move real metrics.

VideoDB (video + audio backend for AI agents) is running a 14‑day sprint/contest called Growth Forge. The idea: 5 builders get access to their agentic stack and have to design and ship a growth agent — basically, a system that can find, reach, and activate the right users with minimal manual effort, then prove it can keep running.

Why it caught my eye

It’s structured more like a focused engineering + growth sprint than a random “challenge”:

  • 500 USD on successful sprint completion
  • 1,000 USD performance bounty if your system beats their internal baseline
  • Co‑published case study with your name on it
  • Possibility of deeper collaboration with the team if you’re a strong fit

So if you perform well, you can walk away with up to $1,500, plus a solid public case study on a real AI infra product.

Stack you get to build on

You don’t start from scratch. Selected developers get a working agentic stack on day one:

  • Tokens & compute (with sensible limits)
  • An orchestration layer (OpenClaw) already deployed
  • Browser‑use agents (X, LinkedIn, YouTube, etc.) with baseline behaviours
  • Research / retrieval APIs
  • Cloudflare workers / queues / edge in front of everything
  • Engineering support from the VideoDB team to help make your agent production‑ready

Out of the box, the system can already:

  • Browse the web for research / scraping / summaries
  • Operate across social platforms (post, comment, react, follow)
  • Call research APIs for deep retrieval
  • Route workflows between different surfaces
  • Track metrics via dashboards and attribution

Your job is to treat it like a well‑instrumented codebase and turn it into a repeatable growth loop.

How the sprint/contest is structured

Total timeline: 24 days:

  • Days 1–3 – Define
    Pick one metric, instrument the funnel, design the agent loop.

  • Days 4–14 – Build
    Ship the growth agent, launch it in production, iterate based on data.

  • Days 15–24 – Prove
    10‑day proving run where the agent keeps running with low manual involvement.

On Day 3, you lock one metric to own:

  • Signups
  • Activation
  • GitHub → usage
  • Content → pipeline

They provide UTMs, dashboards, and shared attribution so you can see exactly what your system is doing.

Who this seems right for

  • Developers who like building with AI agents and automation
  • People who think in systems/loops, not just single campaigns
  • Builders who want a time‑boxed, paid experiment on a live product
  • Anyone curious about combining engineering, growth, and AI infra

Contest Link is in pinned comments

(If this isn’t appropriate for this sub, mods feel free to remove — sharing because it looked like a legit AI + growth build opportunity for devs.)

reddit.com
u/CallmeAK__ — 15 days ago
▲ 1 r/buildinpublic

Saw something that feels very “build in public” friendly and wanted to share for anyone who likes structured sprints with real stakes.

VideoDB (AI-native infra for video/audio agents) is running a 14-day sprint/contest called Growth Forge for 5 builders to design and ship a growth agent for their product – basically, an autonomous loop that can find, reach, activate, and learn from the right users with minimal manual pushing.

Why it’s interesting

It’s set up less like a fluffy challenge and more like a serious, outcome-based sprint with clear rewards:

  • 500 USD – paid on successful sprint completion
  • 1,000 USD – performance bounty if your system beats their internal baseline
  • Co-published case study with your name on it
  • Plus, strong performers get a shot at deeper collaboration with the team

So if you execute well, you can walk away with up to 1,500 USD in cash, a solid public case study on a real AI infra product, and some meaningful upside with the team behind it.

What you get to build with

You don’t start from zero. They give you an agentic stack on day one:

  • Tokens & compute (with sane limits)
  • An orchestration layer (OpenClaw) already deployed
  • Browser-use agents (X, LinkedIn, YouTube, etc.) wired up with baseline behaviors
  • Research/retrieval APIs (Parallel, Exa, etc.)
  • Cloudflare workers / queues / edge in front of everything
  • Engineering support from the VideoDB team to help make your agent production-ready

The baseline system can already:

  • Browse the web for research / scraping / summaries
  • Operate across social platforms (post, comment, react, follow)
  • Use research APIs for deep retrieval
  • Route workflows between surfaces
  • Observe metrics via attribution + dashboards

Your job is to treat it like a well-instrumented codebase and build a real growth loop on top of it.

How the 14-day sprint works

Total timeline is 24 days, but the “contest” part is the first 14:

  • Days 1–3 – Define
    Pick your metric, instrument the funnel, design the agent loop.

  • Days 4–14 – Build
    Ship the growth agent, launch it in production, iterate.

  • Days 15–24 – Prove
    10-day proving run where the agent keeps running with low manual dependency.

On Day 3 you lock one metric to own end-to-end:

  • Signups
  • Activation
  • GitHub → usage
  • Content → pipeline

They provide UTMs, dashboards, and shared attribution so everything is legible.

Who this seems ideal for

  • Builders who like time-boxed sprints and public proof of work
  • People who think in systems and loops, not just one-off campaigns
  • Folks using AI as leverage (agents, automation, retrieval, etc.)
  • Anyone who wants to build an actual growth system on a serious AI stack

If that sounds like you or someone you know, you can check out the details here (deadline is 10 May 2026):

👉 https://forge.videodb.io

Curious how people here would approach designing the growth loop for something like this.

u/CallmeAK__ — 15 days ago
▲ 3 r/AI_Agents

Sharing an AI-native growth agents contest that feels very on-brand for this sub.

VideoDB (infra for video/audio for AI agents) is running a 14-day sprint/contest called Growth Forge for 5 builders to design and ship a growth agent on top of their existing agentic stack – a loop that can find, reach, activate, and learn from the right users with minimal human supervision.

Why it’s interesting

It’s framed as a focused, outcome-based sprint with concrete rewards:

  • 500 USD – paid on successful sprint completion
  • 1,000 USD – performance bounty if your system beats their internal baseline
  • Co-published case study with your name on it
  • Potential for deeper collaboration with the team if you perform well

So a strong run can net you up to 1,500 USD in cash, a high-signal case study, and real relationship upside with an AI infra team.

What you get to build with

Instead of starting from scratch, you inherit a working agentic stack:

  • Tokens & compute (with sane limits)
  • OpenClaw already deployed for orchestration
  • Browser-use agents (X, LinkedIn, YouTube, etc.) wired with baseline behaviors
  • Parallel / Exa and similar APIs for research/retrieval
  • Cloudflare workers / queues / edge in front of everything
  • VideoDB engineers sitting alongside to harden agents and deploy cleanly

The baseline system already supports:

  • browse(web) → research, scrape, summarize
  • operate(socials) → post, comment, react, follow
  • research(apis) → deep retrieval, evidence
  • route(workflows) → cross-surface handoff
  • observe(metrics) → attribution, dashboards

You treat it like a well-instrumented codebase and push it into a durable growth loop.

How the sprint/contest is structured

Total timeline: 24 days

  • Days 1–3 – Define
    Choose your metric, instrument the funnel, design the loop.

  • Days 4–14 – Build
    Ship the growth agent, get it into production, iterate.

  • Days 15–24 – Prove
    10-day proving run where the agent operates with low manual involvement.

By Day 3 you lock one metric to own:

  • Signups
  • Activation
  • GitHub → usage
  • Content → pipeline

They provide UTMs, dashboards, and shared attribution so your work is transparent.

Who this is for

Feels like a fit if you:

  • Have actually shipped agents / systems before
  • Think in loops and compounding mechanisms, not isolated campaigns
  • Use AI as leverage (agents doing real work)
  • Care about metric movement, autonomy, and durability in the wild

Apply link for this contest is in the comments

Would love to see how people here would architect a growth agent for this kind of product.

reddit.com
u/CallmeAK__ — 15 days ago
▲ 1 r/advancedentrepreneur

Sharing an opportunity that might interest entrepreneurs who like building systems that compound, not just running isolated campaigns.

VideoDB (AI-native video/audio infra) is running a 14-day sprint/contest called Growth Forge for 5 builders to design and ship a growth agent for their product – a loop that brings in the right users, activates them, and keeps running through a proving period with minimal manual effort.

Why it’s worth a look

They’re very clear about the rewards, which makes it feel more serious than a random “challenge”:

  • 500 USD – paid on successful sprint completion
  • 1,000 USD – performance bounty if you beat their internal baseline
  • Co-published case study with your name on it
  • Option for deeper collaboration afterwards if you’re a strong fit

In other words, you can earn up to $1,500 in cash and walk away with a credible case study on an AI infra startup, plus a relationship with the team.

What you build on

You aren’t asked to build everything from scratch. They provide a working agentic stack:

  • Tokens & compute (with sane limits)
  • An orchestration layer (OpenClaw) already in place
  • Browser-use agents (X, LinkedIn, YouTube) with baseline behaviors
  • Research/retrieval APIs
  • Cloudflare workers / queues / edge as the front door
  • Engineering support from the VideoDB team to ship something production-ready

The existing system can already browse, act on social platforms, route workflows, and track metrics via dashboards.

Your focus is turning that into a repeatable growth engine.

How the sprint/contest is structured

Total timeline: 24 days

  • Days 1–3 – Define
    Pick one key metric, instrument the funnel, design the loop.

  • Days 4–14 – Build
    Ship the growth agent, launch into production, refine.

  • Days 15–24 – Prove
    10-day proving run where the system keeps working with low manual involvement.

You lock one metric on Day 3:

  • Signups
  • Activation
  • GitHub → usage
  • Content → pipeline

They give you UTMs and dashboards so you can see what’s working and what’s not.

Who this fits

  • Entrepreneurs who want to sharpen their growth/system-building muscles
  • Builders who think in loops and compounding effects
  • People using AI as a leverage layer (agents, automation, workflows)
  • Anyone who wants a focused, time-boxed challenge with clear upside

If that sounds like your lane, more info is here (deadline: 10 May 2026):

👉 https://forge.videodb.io

Also curious: would you ever run a similar contest/sprint for your own product to find operators?

reddit.com
u/CallmeAK__ — 15 days ago
▲ 1 r/Entrepreneurs

Sharing an opportunity that might interest entrepreneurs who like building systems that compound, not just running isolated campaigns.

VideoDB (AI-native video/audio infra) is running a 14-day sprint/contest called Growth Forge for 5 builders to design and ship a growth agent for their product – a loop that brings in the right users, activates them, and keeps running through a proving period with minimal manual effort.

Why it’s worth a look

They’re very clear about the rewards, which makes it feel more serious than a random “challenge”:

  • 500 USD – paid on successful sprint completion
  • 1,000 USD – performance bounty if you beat their internal baseline
  • Co-published case study with your name on it
  • Option for deeper collaboration afterwards if you’re a strong fit

In other words, you can earn up to $1,500 in cash and walk away with a credible case study on an AI infra startup, plus a relationship with the team.

What you build on

You aren’t asked to build everything from scratch. They provide a working agentic stack:

  • Tokens & compute (with sane limits)
  • An orchestration layer (OpenClaw) already in place
  • Browser-use agents (X, LinkedIn, YouTube) with baseline behaviors
  • Research/retrieval APIs
  • Cloudflare workers / queues / edge as the front door
  • Engineering support from the VideoDB team to ship something production-ready

The existing system can already browse, act on social platforms, route workflows, and track metrics via dashboards.

Your focus is turning that into a repeatable growth engine.

How the sprint/contest is structured

Total timeline: 24 days

  • Days 1–3 – Define
    Pick one key metric, instrument the funnel, design the loop.

  • Days 4–14 – Build
    Ship the growth agent, launch into production, refine.

  • Days 15–24 – Prove
    10-day proving run where the system keeps working with low manual involvement.

You lock one metric on Day 3:

  • Signups
  • Activation
  • GitHub → usage
  • Content → pipeline

They give you UTMs and dashboards so you can see what’s working and what’s not.

Who this fits

  • Entrepreneurs who want to sharpen their growth/system-building muscles
  • Builders who think in loops and compounding effects
  • People using AI as a leverage layer (agents, automation, workflows)
  • Anyone who wants a focused, time-boxed challenge with clear upside

If that sounds like your lane, more info is here (deadline: 10 May 2026):

👉 https://forge.videodb.io

Also curious: would you ever run a similar contest/sprint for your own product to find operators?

reddit.com
u/CallmeAK__ — 15 days ago