Ideas Lab
Real problems people complain about online, pulled every morning and scored out of 100. Build, validate, or skip. How scoring works
- Ideas
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- 2h ago
Multi-Interest Profile Manager
Content creators and learners struggle to manage multiple interests across platforms. A tool that aggregates, organizes, and recommends content across different interest areas could improve discovery. [Google Search suggestion]
Google Trends4mo agoToolProductivityUS
Political Polarization & Primary Election Strategy
Citizens lack tools to identify and support candidates that represent their actual values, leading to polarized primary outcomes dominated by extremes
YC Graveyard9y agoToolGovernment/Politics
Haystack – Review the PRs that need human attention
Hey HN! We're building Haystack (https://haystackeditor.com/) to help teams deal with the explosion in the number of pull requests that need to be reviewed due to the rise of coding agents.Haystack replaces the GitHub PR review system with a queue that triages each PR before a human has to read any diffs. It looks at the diffs, the codebase, and the coding-agent conversation that produced the PR. Haystack then routes it into one of three buckets:1. Safe to merge. This means the PR has enough evidence behind it that the team can merge it without another human's review.Some examples:-- A small UI copy change that includes a screenshot showing the final state-- A backend change where the author clearly tested the important paths and ran the changes in a real environment2. Needs fixes. This means that the PR has bugs or violates a rule in your codebase and therefore the PR needs to be fixed by the author.Some examples:-- The agent was asked to make loading a large table faster by adding pagination, but the PR still loads every result at once and "implements" pagination in the UI-- The PR silently catches an error instead of logging, surfacing, or handling it. This violates the team's "no silent error swallowing" rule3. Needs human review. This means that the PR could not be sufficiently verified by the author or is touching a sensitive part of the codebase (determined by user-input guidelines) and thus requires human review.Some examples:-- The PR changes a significant amount of logic in billing-- The PR changes an important user flow like onboarding, but the author only ran unit tests and never opened the app to check the flow end-to-end. That violates the team's rule that high-impact user-facing changes need manual verification.Instead of starting with line-by-line diffs, Haystack immediately tells the reviewer the goal behind the PR, what design decisions the author made (informed by their coding-agent conversati
Hacker News4mo agoToolAI
Forge – Guardrails take an 8B model from 53% to 99% on agentic tasks
Hi HN, I'm Antoine Zambelli, AI Director at Texas Instruments.I built Forge, an open-source reliability layer for self-hosted LLM tool-calling.What it does:- Adds domain-and-tool-agnostic guardrails (retry nudges, step enforcement, error recovery, VRAM-aware context management) to local models running on consumer hardware- Takes an 8B model from ~53% to ~99% on multi-step agentic workflows without changing the model - just the system around it- Ships with an eval harness and interactive dashboard so you can reproduce every numberI wanted to run a handful of always-on agentic systems for my portfolio, didn't want to pay cloud frontier costs, and immediately hit the compounding math problem on local models. 90% per-step accuracy sounds great, but with a 5-step workflow that's a 40% failure rate. No existing framework seemed to address this mechanical reliability issue - they all seemed tailor-made for cloud frontier.Demo video: https://youtu.be/MzRgJoJAXGc (side-by-side: same model, same task, with and without Forge guardrails)The paper (accepted to ACM CAIS '26, presenting May 26-29 in San Jose) covers the peer-reviewed findings across 97 model/backend configurations, 18 scenarios, 50 runs each. Key numbers:- Ministral 8B with Forge: 99.3%. Claude Sonnet with Forge: 100%. The gap between a free local 8B model on a $600 GPU and a frontier API is less than 1 point.- The same 8B local model with Forge (99.3%) outperforms Claude Sonnet without guardrails (87.2%) - an 8B model with framework support beats the best result you can get through frontier API alone.- Error recovery scores 0% for every model tested - local and frontier - without the retry mechanism. Not a capability gap, an architectural absence.I'm currently using this for my home assistant running on Ministral 14B-Reasoning, and for my locally hosted agentic coding harness (8B managed to contribute to the codebase!).The guardrail stack has five layers, each independ
Hacker News4mo agoToolAI
Superlog (YC P26) – Observability that installs itself and fixes bugs
Hey HN, we’re Nico and Arseniy, co-founders of Superlog (https://superlog.sh). We're building a self-installing, self healing observability tool meant not to be opened. It has a wizard that daily sets up proper logging and an agent that investigates errors and opens PRs.Super short demo: https://www.youtube.com/watch?v=xFhU9Mk247M.In our earlier startups, we tried Sentry, Datadog, Grafana, Dash0, and nothing was good enough. Proper telemetry and alerting still requires a ton of manual setup. We struggled with adding good logs, so debugging was tough, especially as codebases grow at a faster pace. Meanwhile, the Datadog/Dash0 bill kept climbing, and we still spent engineering hours to learn, configure, and maintain our observability tooling.With Sentry, we found ourselves flooded by a stream of alerts into our Slack channel, most were duplicates or lacked context, so alert fatigue/constant interrupts were a real pain. The #ops notification is consistently the worst feeling on a Saturday morningWe’ve seen too many times servers run out of memory and disk, and three AWS metrics giving us three different values. Half of the graphs on dashboards are normally empty or outdated, and manually clicking through UIs, especially when the team is small, seems like a huge waste of time.At some point we realized that solving this problem would be more valuable than the things we had been working on, and we had the expertise to do it, since Arseniy had spent years at Datadog, getting paged during the night to debug production incidents. So we decided to build a platform that would just work: agent-first, MCP-native, zero-setup.Here’s how Superlog works: we have a wizard that scans your repo, and automatically instruments it with well-structured logs, traces and metrics via OpenTelemetry. We make sure to highlight main failure modes, endpoint performance, usage per tenant, and LLM/upstream cost (by callsite, tenant and model).Errors get
Hacker News4mo agoToolAI
No smart gym clothing recommendation app
Fitness enthusiasts need an app that considers outdoor temperature, gym conditions, and specific workout type (cardio, upper body, legs) to suggest appropriate attire like leggings or shorts.
X4mo agoToolSport & Fitness
Lack of AI tool for acquiring first 100 app users
Developers and founders struggle to get initial users for new apps, wishing for an AI assistant like Claude Code that can handle user acquisition tasks automatically.
X4mo agoToolMarketing & Sales
Unwanted low-quality or incompetent replies on social media platforms
Users want premium features to filter or require competency verification for interactions to avoid spam or low-value engagements.
X5mo agoToolMedia
Repetitive KYC processes across fintech platforms
Users are frustrated with spending 30+ minutes on repeated KYC verifications (e.g., eyelid scans) every time they sign up for neobanks, trading apps, or CEXs, desiring a one-time KYC solution for instant access.
X4mo agoToolFinance
No positive content boost feature on social feeds
Users want the opposite of mute words: a way to input preferred content topics so their feed surfaces more of it, improving relevance without manual curation.
X4mo agoToolMedia
No easy way to archive and restore tweets with full engagement
Power users want to temporarily hide high-performing tweets and restore them later with preserved likes, comments, and engagement, as current Twitter features like bookmarks fall short.
X4mo agoToolProductivity
Lightroom alternative finder with workflow guides
Help photographers/creators find and transition to free photo editing alternatives (GIMP, Darktable, Capture One) with practical workflow guides for Lightroom users. [Google Search suggestion]
Google Trends4mo agoToolDesign & CreativeUS
Retirement Savings Gap Analyzer
Tool helping individuals assess pension adequacy and identify savings shortfalls vs. retirement goals, with personalized recommendations—addressing the 15M+ Brits undersaving. [Trending: "pensions commission interim report" with 200+ searches in GB]
Google Trends4mo agoToolFinanceGB
Vegetable Farming Yield Optimizer
Digital tool guiding Indian smallholder farmers on mulching, balanced fertilizer use, and crop-specific techniques to boost vegetable yields and profitability. [Trending: "सब्जी की खेती" with 200+ searches in IN]
Google Trends4mo agoToolAgTechIN
Figma alternative comparison for teams
Guide teams evaluating free/cheaper design collaboration tools instead of Figma with feature parity analysis, migration checklists, and setup tutorials. [Google Search suggestion]
Google Trends4mo agoToolDesign & CreativeUS
Tax software affordability comparison tool
Help users compare and find cheaper tax preparation alternatives to TurboTax with feature-matching and actual cost analysis. Many small filers overpay for unnecessary features. [Google Search suggestion]
Google Trends4mo agoToolFinanceUS
Free AI code assistant aggregator
Curated guide/tool comparing free and open-source alternatives to Claude Code with feature matrix, setup guides, and performance benchmarks for developers. [Google Search suggestion]
Google Trends4mo agoToolDevUS