AI · alternatives · 2026
24 alternatives to Bazaar – a new LLM benchmark for economic reasoning under uncertainty
The BAZAAR challenges LLMs to navigate the double-auction marketplace, where buyers and sellers must make strategic decisions with incomplete information. Each agent receives a private value and must decide how to quote based solely on the history of previous rounds. A realistic test of market intui
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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OpenMarket▲293Multi-agent marketplace where proof decides who wins
Aug 2026 · openmarket.m11.ai · its alternatives →
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LLM Stats▲293I was overspending on GPT-4o. It was really hard to compare different models I could switch to, so I built this LLM comparison tool. It shows leaderboards, pricing, and performance data across 100+ LLMs (including all major providers and open-source models). Key features: - Live pricing comparisons - Benchmark Scores (MMLU, HumanEval, GPQA, etc.) - Context length vs cost analysis - Speed/throughput tests across providers - Quality vs price visualizations - Open source (all data verifiable) Try it out: https://llmstats.com I'd like to know your opinion :) Tech stack: Next.js,…
Oct 2025 · llm-stats.com · its alternatives →
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Humans vs LLMs▲138Hi HN, We just launched [AI Page Ready](https://aipageready.com) — a tool to check if your web pages are discoverable and understandable by AI tools like ChatGPT, Claude, Gemini, and Perplexity. It runs 40+ checks across six areas: Discoverability & Crawlability, Structured Data & Semantics, Content Quality, Answer-Ready Formatting, Accessibility & Rendering, and Deep AI LLM-specific checks. Would love your feedback — especially if you work in eCommerce, SEO, content, SaaS, or are trying to get traffic from AI tools. (Also open to ideas on what else to add to the tool!)
2025 · aipageready.com · its alternatives →
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Hi HN! Excited to show off the project we've been working on for the last couple months. We started with an idea for a crazy twist on prediction markets: You come up with a question for traders to predict, and then decide the outcome yourself. For example, you could create a market on “Will my date with [X] go well?” Anyone can bet on it, and the bets create a forecast on the chance your date goes well. After the date is over, you get to judge the result and reward the traders who picked the correct side. There are so many ways for this mechanism to go wrong: the creator of the market can be…
2022 · manifold.markets · its alternatives →
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Mobius▲93Describe a trade and Mobius builds, backtests, and runs it
May 2026 · joinmobius.com · its alternatives →
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15 MCP tools. 27 retailers. Search, compare, buy
May 2026 · cli-market.dev · its alternatives →
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A multi-agent benchmark where eight LLMs play a money-driven elimination game with private transfers and a buyout endgame, and are ranked by final wealth - GitHub - lechmazur/buyout_game: A multi-agent benchmark where eight LLMs play a money-driven elimination game with private transfers and a buyou
Mar 2026 · github.com · its alternatives →
- 10CA
Hi HN, author here. I built CommerceTXT because I got tired of the fragility of extracting pricing and inventory data from HTML. AI agents currently waste ~8k tokens just to parse a product page, only to hallucinate the price or miss the fact that it's "Out of Stock". CommerceTXT is a strict, read-only text protocol (CC0 Public Domain) designed to give agents deterministic ground truth. Think of it as `robots.txt` + `llms.txt` but structured specifically for transactions. Key technical decisions v1.0: 1. *Fractal Architecture:* Root -> Category -> Product files. Agents only fetch what they…
Dec 2025 · commercetxt.org · its alternatives →
- 11UL
Shopping online can be pretty tedious if you care about the quality of what you are buying. The time it takes can scale pretty proportionally to some combination of the value, relative importance, and complexity of the purchase. I think LLMs can help expedite and personalize the online shopping experience to a degree marketplaces just don't currently provide. I don't think anybody really wants to read the product descriptions of a bunch of products, read reviews, do pairwise product comparisons, and find the best deals across different websites? Or am I wrong? That's why I think this…
2024 · claros.so · its alternatives →
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SECONDSENSE Beta ▲11At its core, the $350B resale industry is a messy, unstructured data problem. Resale isn’t a single market — it’s an extremely fragmented ecosystem of global marketplaces (The RealReal, Poshmark, Etsy, eBay, Fashionphile, etc.) and a long tail of independent resellers, social media merchants, and vintage/consignment shops. On both the consumer and enterprise sides, the biggest pain points stem from a lack of unified product schemas and inconsistent condition nomenclature and evaluation standards. We’re building SECONDSENSE to be the operating system for luxury resale, and we just…
2025 · secondsense.co · its alternatives →
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Performance comparison of ClickHouse vs PostgreSQL using LLM-style query patterns on realistic aircraft tracking data - GitHub - 514-labs/LLM-query-test: Performance comparison of ClickHouse vs PostgreSQL using LLM-style query patterns on realistic aircraft tracking data
2025 · github.com · its alternatives →
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A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL - eosphoros-ai/DB-GPT-Hub
2023 · github.com · its alternatives →
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Continuous evaluation of LLM reasoning on competitive code
Dec 2025 · its alternatives →
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Hi HN, I built llm.sql, an LLM inference framework that reimagines the LLM execution pipeline as a series of structured SQL queries atop SQLite. The motivation: Edge LLMs are getting better, but hardware remains a bottleneck, especially RAM (size and bandwidth). When available memory is less than the model size and KV cache, the OS incurs page faults and swaps pages using LRU-like strategies, resulting in throughput degradation that's hard to notice and even harder to debug. In fact, the memory access pattern during LLM inference is deterministic - we know exactly which weights are needed…
Apr 2026 · its alternatives →
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A stock backtesting engine written in Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model - lukstei/trading-backtest
2016 · github.com · its alternatives →
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Backtest your Polymarket strategy with real historical data
May 2026 · resolvedmarkets.com · its alternatives →
- 19BA
I’ve been experimenting with a graph-based approach to a classic trading problem: why most dip-buying strategies can’t tell the difference between a temporary overreaction and a genuine structural collapse. Most systems treat a −5% move the same regardless of context. My hypothesis was that where a company sits in the market’s structure matters more than the price move itself. The engineering idea I built a knowledge graph of the U.S. public markets with ~207k edges across ~21 relationship types, organized into four layers: Operational: supply-chain relationships (SUPPLIES_TO, PRODUCES)…
Dec 2025 · its alternatives →
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Vibe Trading — agentic AI trading platform for Indian markets. 7 LLM analyst agents analyze stocks in parallel, debate bull vs bear, and deliver trade plans. Open-source agentic quantitative researcher for NSE/BSE/NFO. - hopit-ai/india-trade-cli
Apr 2026 · github.com · its alternatives →
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Hey folks, I’m the creator of WFGY — a semantic reasoning framework for LLMs. After open-sourcing it, I did a full technical and value audit — and realized this engine might be worth $8M–$17M based on AI module licensing norms. If embedded as part of a platform core, the valuation could exceed $30M. Too late to pull it back. So here it is — fully free, open-sourced under MIT. --- ### What does it solve? Current LLMs (even GPT-4+) lack *self-consistent reasoning*. They struggle with: - Fragmented logic across turns - No internal loopback or self-calibration - No modular thought units - Weak…
2025 · github.com · its alternatives →
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I built Hermes, an open-source Python framework for multi-agent financial research. Most AI “equity research” demos stop at generating text. In practice, real workflows require pulling structured XBRL financials from SEC filings, extracting labeled sections like MD&A and Risk Factors, merging macro and market data, building actual Excel models with formulas, and generating investment memos in Word or PDF. Hermes is designed to handle that full pipeline end to end. It includes 35 financial data tools covering SEC EDGAR (via edgartools), FRED, Yahoo Finance market data, and RSS-based financial…
Feb 2026 · github.com · its alternatives →
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Adversarial multi-turn benchmark for LLM debate quality, using side-swapped matchups and multi-model judging to rank models by judged debate performance. - lechmazur/debate
Mar 2026 · github.com · its alternatives →
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