SShortSingh.
Back to feed

Startup launches marketplace enabling AI agents to transact with each other

0
·1 views

A new platform called AaaS (Agent-as-a-Service) marketplace has been introduced, allowing AI agents to autonomously purchase services from other AI agents. The project was shared on Hacker News as a community showcase submission. The marketplace is hosted on Google Cloud's Asia Northeast region infrastructure. Details about the founding team, pricing, and supported agent frameworks were not disclosed in the submission. The concept reflects a growing interest in autonomous, multi-agent AI ecosystems where human intervention in transactions is minimized.

Read the full story at Hacker News

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

How to Correctly Detect Dependency Cycles Using Three-State DFS

A common bug in cycle detection code uses a single visited set, which incorrectly flags diamond-shaped dependency graphs as cyclic. The correct approach assigns each node one of three states — unvisited, in-progress, or fully processed — based on classical depth-first search theory. Only an edge pointing back to an in-progress node indicates a true cycle, while an edge to a fully processed node is harmless. This method also captures the exact cycle path, making error messages actionable for engineers. An iterative implementation using an explicit stack demonstrates the technique on a realistic module dependency graph containing both a genuine cycle and a diamond pattern.

0
ProgrammingDEV Community ·

ML Feature Store Versioning: A Structural Guide to Reproducible Quant Systems

Software engineer Shakti Tiwari published an educational article on DEV Community explaining the principles of ML feature store versioning for quantitative systems. The piece focuses on the structural and conceptual foundations of building reproducible pipelines, deliberately avoiding live market data to keep the guidance evergreen. Tiwari identifies three core components of any sound system: what is observed, what is decided, and what it costs — noting that most tutorials omit the third, which involves realistic fill models, fee schedules, and tax rules. He warns that common implementation failures such as look-ahead bias and data leakage often stem from small, overlooked coding decisions rather than flawed concepts. The article frames testability and explicit contracts between intent and code as the key differentiators between a working production system and a demo that only appears to function correctly.

0
ProgrammingDEV Community ·

Why Recording Time, Book Series, and Tax Figures Matter When Digitising Deeds

A technical guide for developers and title professionals explains the critical data points embedded in a deed's clerk recording stamp, including county, state, date, time, book-and-page reference, and fees. The recording time is highlighted as especially important because under most U.S. state statutes, priority between competing property claims on the same day is determined by who recorded first. Book-and-page citations are only unique identifiers when combined with the county, state, and specific record series, since multiple series with overlapping volume numbers can exist within a single county. Documentary transfer tax figures should be stored as raw amounts rather than used to back-calculate sale prices, given varying rates, exemptions, and nominal-consideration deeds. As counties transitioned to electronic systems at different times, records around the cutover date may carry either a book-and-page reference, an instrument number, or both, requiring flexible data schemas.

0
ProgrammingDEV Community ·

How Legal Property Descriptions Work and Why Exact Text Extraction Matters

Legal descriptions in property deeds are precise identification instruments, not general property summaries, and even slight wording differences make two descriptions legally distinct. American deeds use one of three systems: metes and bounds, lot and block, or the Public Land Survey System, each with specific required components that naive extraction often misses. A single deed may contain multiple descriptions joined by 'AND' or labeled as separate tracts, meaning data schemas must accommodate arrays rather than a single text field. Experts warn against converting legal descriptions into parsed coordinates or reconstructed text, as the verbatim string — including punctuation, capitalization, and abbreviations — is what holds legal weight in title commitments and court filings. The recommended approach is to store the description exactly as written on the recorded page, alongside the source image and character offsets, to allow meaningful human review.