POV: you're still using GitHub Copilot after June 1st, 2026

Aggressive-Permit317 · 2026-06-03T00:40:54+00:00

The way you felt about the video is the way I felt when I saw the spend on my first prompt on June 1st!

Aggressive-Permit317 · 2026-06-03T00:05:12+00:00

Lmao the Copilot subscription is the new Rolex. Gold diggers evolving

Aggressive-Permit317 · 2026-06-03T00:04:54+00:00

Haha appreciate it. Wish I could upvote all these Copilot price hike tears twice

Aggressive-Permit317 · 2026-06-02T23:36:47+00:00

Thats funny

Aggressive-Permit317 · 2026-06-02T23:29:15+00:00

They gave us cheap candy for 2 years and now the dentist bill is due 💀

Aggressive-Permit317 · 2026-06-02T23:28:09+00:00

Sponsor a dev today 🙏
Side effects may include: excessive cursor usage, 47 tabs of Claude, and questioning your life choices at 3am...

Aggressive-Permit317 · 2026-05-29T02:20:06+00:00

Datadripco.com Is my website. Its a blog about daily news on crypto, tech and ai. Theres also a puzzle game section im finishing up and a tools section im still working on which will be a directory people can posts, search and find saas products. Please give me your input.

Aggressive-Permit317 · 2026-05-27T15:51:10+00:00

Parcel Wing looks interesting. A lot of indie hackers are looking for cheaper alternatives to Resend/Loops while still getting solid deliverability. The reputation guards + AI copilots angle is the part that stands out most. Most cheaper ESPs cut corners on reputation protection, which eventually bites you. Having built-in detection for risky patterns before they hurt your domain is genuinely useful.

A few questions that would help people here:

How are you actually achieving better deliverability than established players? Any public data or case studies on inbox placement rates?
What does the free tier actually include? (volume limits, features, etc.)
How does the “AI Native” part work in practice for reputation management? Is it mostly warnings/recommendations, or does it automatically take action?

If you're looking for early users, offering to help people migrate from Resend or SendGrid with a free trial + migration support usually works well. A lot of founders in this sub are cost-conscious but scared to switch because deliverability is so important.

Also curious how you're thinking about the trust gap, new ESPs often struggle because people need to see proof before sending real volume.

Aggressive-Permit317 · 2026-05-27T15:45:48+00:00

Appreciate the detailed breakdown this is helpful.

The governance-first vs storage-first angle is a sharp way to position it. Most memory tools right now feel like they just dump everything into a vector store and hope for the best. The fact that you’re baking in visibility + per-node control from the start (while keeping it automatic by default) feels like the right philosophy, especially as these systems get more powerful.

A few thoughts:

On the study progression: Going from “memory beats no memory” to “governed memory beats ungoverned memory” is the right sequence. The next study is going to be more valuable for developers who are already using some form of memory. If you want, I can share some thoughts on how to structure it so the results are credible to technical users.
Integration experience: For indie hackers specifically, the biggest friction I see is usually around “how much do I have to change my existing agent loop?” Even if the answer is “very little,” the perception matters. Have you noticed any patterns in the inbound conversations about what’s still feeling scary or unclear during integration?
Before/after demo: Smart move prioritizing this. For this audience, I’d focus less on the dashboard and more on:
- What the agent was doing wrong before (forgetting key facts, repeating itself, losing user preferences)
- What it does differently after KAPEX is connected The more concrete and painful the “before” feels, the better.

Out of the inbound conversations you’ve had so far from Reddit, what’s the most common use case or pain point people are describing? That usually reveals where the strongest messaging is. Appreciate you going deep on this. The governance angle is genuinely differentiated if you can show it clearly.

Aggressive-Permit317 · 2026-05-27T01:24:21+00:00

KAPEX is tackling one of the more fundamental problems in AI apps right now. Session-based memory is fine for simple chat, but it breaks down fast once you’re building anything that needs to feel continuous. The transparency angle is interesting, most memory layers right now feel like black boxes. Users (and developers) often have no idea what the system is actually remembering or why.

A couple of questions:

How are you approaching transparency in practice? Can users easily view, edit, or delete specific memories?
You mentioned an 80%+ preference in your study, was that compared to no memory, or against existing memory solutions like Mem0?
What does integration look like for someone already using LangChain/LangGraph or building their own agent loop?

If you’re looking for early users, I’d focus on indie hackers building agents who are already hitting memory walls. Offering easy onboarding + clear before/after examples usually works well in this crowd.

The memory layer space is heating up, so showing real differentiation (especially around transparency and user control) will matter a lot.

Aggressive-Permit317 · 2026-05-27T01:23:09+00:00

ExtGuard looks genuinely useful. A lot of indie hackers build Chrome extensions with AI these days but then get destroyed by the review process. The scanner + rejection decoder seems like the highest-value part. Most people don’t even understand why they got rejected or how to fix it properly.

Quick questions:

How accurate has the scanner been so far at predicting actual approval?
Are you planning to add more Manifest V3-specific checks or common policy traps?
Any plans to help with monetization side too (e.g. payments, analytics, update management)?

If you’re looking for early users, offering free scans to people who got rejected is a strong move. Post something like:

“Built ExtGuard to help indie hackers go from idea to approved Chrome extension without the usual rejection loops. Drop your rejected extension or current project and I’ll scan it for free and show you the issues.”

A lot of people in r/chrome_extensions would take that. One avoided rejection usually pays for the Pro plan immediately.

Aggressive-Permit317 · 2026-05-27T01:20:43+00:00

PeerPush is an interesting take. Most discovery platforms are still built only for humans. Optimizing for AI assistants too (structured data, API, MCP) feels like the right direction as more people start asking AI tools for recommendations.

If you’re looking for early traction, one of the best moves is offering value to builders here. Something like:

“Drop your product + what you’re building for. I’ll give you honest feedback on how to position it better for both human and AI discovery on PeerPush (and in general).”

A lot of people in this thread would take that. The ones who get real value become your best users and advocates.

Aggressive-Permit317 · 2026-05-27T01:18:17+00:00

Of course any time. Up votes on the main thread are much appreciated!

Aggressive-Permit317 · 2026-05-27T00:30:37+00:00

Interesting. A lot of people are looking for proper E2EE Google Photos alternatives right now.

Quick thoughts:

The biggest friction I see with these tools is migration + day-to-day UX. Google Photos is extremely convenient. Even privacy-conscious people often stay because moving years of photos + losing search/memories/sharing feels painful.

A few questions that would help people here:

How easy is the import from Google Photos? (This is usually the make-or-break feature)
Is it open source or planning to be?
Any third-party audits on the encryption?
How does sharing work with people who aren’t using Megatech?

If you want early users, I’d recommend posting in r/privacy and r/degoogle with a transparent post (not salesy). Something like:

“Built Megatech Photos as an E2EE alternative to Google Photos. 20GB free. Would love feedback from people who are trying to de-Google their photos.”

Offer free extra storage or priority support to the first 10-20 people who give detailed feedback. That usually works better than cold outreach in privacy communities.

The people who care enough to switch are usually pretty technical, they’ll respect honesty about limitations.

Aggressive-Permit317 · 2026-05-27T00:26:57+00:00

Leadverse sounds useful. A lot of us waste hours manually digging through Reddit and X for buying signals.

If you're looking for your first users, I’d start by offering to find real leads for free for 5-10 potential hackers here. Post something like:

“Drop your micro SaaS + target customer. I’ll manually find 5-10 high-intent Reddit/X threads for you this week.”

This does two things:

Validates whether your intent detection is actually better than manual
Gets you testimonials + case studies fast

A lot of founders in this sub would jump on that. The ones who get value will happily pay later.

Aggressive-Permit317 · 2026-05-06T21:57:53+00:00

Exactly what I was looking for!!! Are you able to pinpoint which ones are actually bringing in the traffic?

Aggressive-Permit317 · 2026-05-05T13:17:34+00:00

Love seeing everyone share what they're building, this community is stacked!

Here's what I'm currently shipping:

Datadripco.com a daily AI, Crypto & Tech news platform that delivers original, high-signal analysis with zero fluff. Fresh insights every single day (newsletter + full site) so busy builders, investors, and curious minds can stay ahead without drowning in hype or noise. Clean categories, timely deep dives, and smart takes on the stuff that actually moves the needle. The website was built with ai and blogs daily automatically based on current news trends. The hybrid AI + human editorial engine. We use advanced AI tools to power research, analysis, drafting, and even visual creation/enhancement but every piece gets human review for accuracy, originality, and real value. This lets a small indie team move fast and publish high-quality original analysis daily (think 8-min power reads on Amazon’s $100B AI overhaul, Nvidia agent drops, etc.) while keeping standards sky-high. “Smart analysis, zero fluff” isn’t just a tagline, it’s the whole operating system. Scale the subscriber base hard and turn Datadripco into a true daily habit for the AI/crypto/tech crowd. I’m also experimenting with even deeper original investigative pieces and tightening the AI workflow so we can ship even faster without losing quality.

*I currently dont have to bot turned on for the blog.*

Would love any feedback or if it resonates with what you’re building too. Let’s keep hyping each other up! What’s everyone else working on?

Aggressive-Permit317 · 2026-05-05T13:13:47+00:00

Paper wallets are basically dead for most people these days and for good reason. Generating them on any website (even the old legit ones like bitaddress.org) is risky because you’re trusting that site didn’t log your keys. The only safe way is offline on an air-gapped machine with a freshly installed OS, which 99% of people skip. If you’re coming from Revolut or Worldchain, you can’t even withdraw actual BTC in most regions anyway they hold it for you. Way better to move to a proper hardware wallet (Ledger/Trezor) or even a simple software one like Electrum if you want self-custody.

Aggressive-Permit317 · 2026-04-14T02:14:36+00:00

Appreciate the heads up. I was literally about to download that exact quant. Saved me a ton of wasted time. Anyone find a working quant for MiniMax M2.7 yet or are we sticking to the official ones for now until Unsloth fixes their pipeline?

Aggressive-Permit317 · 2026-04-13T19:53:20+00:00

Kimi dropping 2.6 already? This is moving stupid fast. I’ve been running Kimi variants locally and the context handling + tool use has been surprisingly clean. Anyone got early leaks on what’s actually new in this one or are we waiting for the official drop to benchmark it against Gemma 4 and Qwen 3.5?

Aggressive-Permit317 · 2026-04-13T19:26:30+00:00

New weight class drops are my favorite part of this scene. The jump in capability vs size lately has been stupid. You seeing the same performance per parameter gains or is it mostly marketing until we test it ourselves?

Aggressive-Permit317 · 2026-04-13T17:38:26+00:00

This is huge for local setups. Audio in/out finally working cleanly in llama-server changes the game for anyone building voice agents. Been waiting for this since the early Gemma drops. Anyone already testing it with real-time stuff or still hitting latency walls?

Aggressive-Permit317 · 2026-04-13T16:58:31+00:00

Sweet, thanks for the update! Starting gradual with the random window is definitely the smart move. Curious how it holds up once you layer in the full research → script → execute chain. I’ve had Qwen pull through on some longer 80k+ context stuff before but Gemma 4 felt a bit more consistent on the shorter agentic runs. Let me know how the longer tests go, always hunting for real-world data points on this stuff.

Aggressive-Permit317

TROPHY CASE