▲ 139 r/AskFounder+1 crossposts

Gen Z in 2050 after using Claude for everything.

▲ 12 r/AskFounder+1 crossposts

Me watching every AI tool slowly become my entire startup idea 🥲

Hey r/PostgreSQL,

I've been working with Postgres for a couple of years and kept running into the same frustration — PGAdmin for browsing, DBeaver for diagrams, handwritten migration scripts, CSV exports for anyone who wanted to see data. Everything disconnected.

So I spent the last 4 months building Schema Weaver. It's browser-based, no install needed.

Here's what it actually does:

**SQL Editor**

- Multi-file projects (organise DDL like a codebase)

- Live ER diagram that updates as you type — handles 1000+ tables

- 20-layer schema compiler: grades your schema A–F, detects missing PKs, redundant indexes, RLS gaps, circular dependencies, orphan sequences, unsafe security definers, and more — all client-side under 50ms

- Dijkstra + BFS path analysis to find shortest JOIN path between any two tables

- Schema diff (unified, side-by-side, semantic)

- Version history with one-click restore

**Migration Engine**

- Advisory locking to prevent concurrent conflicts

- Drift detection — fingerprints your DB before every push

- 6-phase safe mode for column type changes (shadow column → sync trigger → backfill → swap)

- Tamper-evident audit chain with auto-generated reverse SQL for rollback

**Resona AI**

- ReAct agentic loop with 55 purpose-built tools

- Table AI, Group AI, Global AI — anchored to actual schema context, not just text

- Surgical multi-file workspace editing — patches specific lines, preserves formatting

- Streams reasoning + tool calls in real time

**Data Explorer**

- High-performance grid with canvas-based smart column sizing

- Server-side filtering, sorting, column stats

- Agentic AI analysis — 40+ tools, generates charts, anomaly detection, PPTX/PDF reports

- Full DB export as ZIP (CSV, JSON, Excel, SQL)

- Read-only by default, automatic PII masking

Full Postgres support: partitions, RLS, composite types, domains, materialized views, PL/pgSQL, extensions — PG 12–17.

---

I'm in early testing phase and genuinely want to know:

- What breaks?

- What's missing that you'd actually use?

- Is the compiler catching issues you care about?

- Does the AI understand your schema or does it hallucinate?

Free to try, no credit card:

🔗 SQL Editor: sql-editor.schemaweaver.vivekmind.com

🔗 Data Explorer: data-explorer.schemaweaver.vivekmind.com

🔗 Docs: docs.schemaweaver.vivekmind.com

landing page: https://schemaweaver.vivekmind.com/

Happy to answer any questions about how it's built.

u/Vivek-Kumar-yadav — 10 days ago

▲ 7 r/AskFounder+3 crossposts

A quick update on the v2 of my trading architecture (moving away from LLM "distributed vetoes" to a strict State Machine).

I just finished building the Phase 2 component: a purely Python, deterministic Multi-Timeframe Cascade.

Before the AI even gets to look at the market, a Python feature extractor reads the D1, H4, and H1 timeframes concurrently. It maps out the smart money concepts (the strategy I choose to test).

If D1 is Bearish, H4 is Bearish, but H1 is Bullish... the JSON outputs:

aligned: false

reason: "Timeframes disagree"

A major lesson learned during this phase:

While building this with my coding assistant, the tool tried to silently map an UNKNOWN market state into a NEUTRAL state to make the code run smoother.

I caught it and realized this is exactly how "black boxes" are born. If I let the system silently normalize data without telling me, debugging a live failure in 3 months would be impossible.

So, I implemented a strict bias_source tracker. Every single output now has an exact audit trail of why it decided a trend exists (e.g., BOS_EVENT vs NO_BOS_HISTORY).

My question for the Quants and System Builders here:

Right now, my alignment rule is brutal:

STRICT_ALL_THREE_AGREE.

If D1, H4, and H1 aren't pointig in the exact same direction, the system stays in IDLE.

Is requiring a perfect 3-timeframe alignment too paranoid?

My fear is that by doing this, the bot will completely ignore highly profitable intraday pullbacks (e.g., D1 Bullish, H4 Bearish retracement, H1 Bearish continuation) and starve for trades.

How do you usually balance MTF alignment vs.

execution starvation in your deterministic systems?

What's next (Phase 3):

Now that I have a rock-solid, verifiable Python JSON acting as the "ground truth", it's time to bring the LLM back into the game. Its new job?

Just reading this JSON to extract the institutional narrative and pick the best H1 Point of Interest. No math allowed.

Would love to hear your thoughts on the alignment strictness!

reddit.com

u/Simone_Crosta — 8 days ago

▲ 16 r/AskFounder+8 crossposts

Welcome to Launch Lane – May 2026

This monthly thread is for sharing what you shipped: tools, SaaS, CLIs, dashboards, agents, scripts, and other projects relevant to VibeCodeDevs.

Purpose

Present what you have built
Receive targeted feedback from developers and founders
Find early users, collaborators, or contributors

Your project does not need to be finished. If you shipped anything that moves your work forward, you can post it here.

How to Share Your Launch

Reply using this format:

Name:
One-liner (what it does):
Link:
Stack / AI tools used: (LLMs, frameworks, infra, etc.)
Who it is for: (your ideal user)
Feedback you want: (e.g., pricing clarity, onboarding friction, positioning, viability)

How to Get Better Feedback

You are more likely to receive useful feedback if you:

Clearly state the problem you are solving
Explain why you built the project
Describe a typical user journey
Ask for specific feedback instead of general opinions

Low-effort “link-only” posts may be removed.

For Reviewers

If you are reviewing, consider selecting 1–3 projects and providing specific, constructive feedback:

Where you felt confused or blocked
What would make you consider paying
How you would describe the product in one sentence
Relevant competitors or references

Consistent, thoughtful feedback improves the quality of this thread.

r/AskFounder