ByteAsk
AI coding agent for C and C++ that verifies its own work for high-stakes engineering teams.
Website: https://byteask.ai/
Cover Block
Open sources
| Field | Value |
|---|---|
| Name | ByteAsk |
| Tagline | AI coding agent for C and C++ that verifies its own work for high-stakes engineering teams [ByteAsk, retrieved 2026] |
| Headquarters | San Francisco, United States [Anirudha Kulkarni, retrieved 2026] |
| Founded | 2026 [Anirudha Kulkarni, retrieved 2026] |
| Stage | Pre-Seed [Entrackr, September 2026] |
| Business Model | SaaS [Inc42, October 2026] |
| Industry | Deeptech |
| Technology | AI / Machine Learning |
| Geography | Global / Remote-First |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2), Anirudha Kulkarni and Pratyush Saini [Anirudha Kulkarni, retrieved 2026] [LinkedIn, retrieved 2026] |
| Funding Label | Pre-seed [Entrackr, September 2026] |
| Total Disclosed | ~$1,000,000 [Entrackr, September 2026] |
Links
Open sources
- Website: https://byteask.ai/
- LinkedIn: https://www.ycombinator.com/companies/byteask
- GitHub: https://byteask.vercel.app/
What an Investor Needs First
PUBLIC ByteAsk is building an AI coding agent for C and C++ that aims to verify its own changes against real developer toolchains, a narrow but credible wedge at a moment when investors are looking for AI products that can move beyond autocomplete into higher-assurance engineering workflows [Y Combinator, retrieved 2026] [Tooljunction.io, 2026] [ByteAsk, retrieved 2026]. The company was founded in June 2026 by Anirudha Kulkarni and Pratyush Saini, two IIT Delhi computer science graduates who previously built LawSutra AI and sold it to Manupatra within four months, according to multiple public reports [Anirudha Kulkarni, retrieved 2026] [Analytics India Magazine, retrieved 2026] [StartupTalky, retrieved 2026].
The product claim is specific enough to merit attention: ByteAsk says it works from the terminal, edits repositories, and then runs compilers, sanitizers, debuggers, and test suites before presenting a diff, with support cited for tools such as LLVM, GCC, gdb, Valgrind, and CMake [ByteAsk, retrieved 2026] [ByteAsk.vercel.app, retrieved 2026]. That differentiation matters because the target user is not a general software team, but engineers working in C and C++ environments where performance, debugging, legacy code, and hardware dependencies are material constraints [Y Combinator, retrieved 2026] [IndieFounder, retrieved 2026] [Dealroom.co, retrieved 2026].
Public evidence on team fit is directionally positive, though still early. Kulkarni is identified publicly as ex-Optiver, while both founders are repeatedly tied to prior work on LawSutra AI; ByteAsk itself is listed by Y Combinator as a two-person San Francisco company in the Fall 2026 batch [Anirudha Kulkarni, retrieved 2026] [Analytics India Magazine, retrieved 2026] [Y Combinator, retrieved 2026].
On capital formation, ByteAsk disclosed a $1 million pre-seed round in September 2026 led by Y Combinator, with Entrepreneur First and angels from quantitative trading firms also reported as participants [Entrackr, September 2026] [The Economic Times, September 2026]. The monetization plan appears to combine software subscriptions with enterprise services, and management's public messaging around security, privacy, and on-premises deployment suggests the company is orienting toward larger, sensitive-code environments rather than self-serve developer adoption alone [Inc42, October 2026] [The Economic Times, September 2026] [Global Startups Insights, retrieved 2026].
Over the next 12 to 18 months, the key questions are whether ByteAsk can show production use inside demanding engineering organizations, convert its verification-first positioning into repeatable enterprise buying behavior, and substantiate product claims that currently rely heavily on company-controlled sources [ByteAsk, retrieved 2026] [Y Combinator, retrieved 2026] [The Economic Times, September 2026]. The setup is promising, but the public record is still pre-traction: clear technical positioning, a relevant founder story, and early institutional validation, with commercial proof still to be demonstrated [Entrackr, September 2026] [Y Combinator, retrieved 2026].
Partially corroborated -- Core company identity, founders, YC affiliation, and financing are corroborated by Y Combinator, Entrackr, and The Economic Times; several product details remain primarily company-sourced.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Pre-Seed |
| Business Model | SaaS |
| Industry / Vertical | Deeptech |
| Technology Type | AI / Machine Learning |
| Geography | Global / Remote-First |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | Pre-seed, total disclosed about $1,000,000 |
Inside the Company
PUBLIC
ByteAsk presents as a very early company built around a narrow technical wedge rather than broad developer coverage. The company says it is developing an AI coding agent for C and C++ codebases, with an emphasis on verifying code changes before surfacing a diff, and Y Combinator describes the product in similarly plain terms as an AI coding agent for C and C++ [ByteAsk, retrieved 2026] [Y Combinator, retrieved 2026]. Public materials place the company in San Francisco and describe it as remote-first, which fits the profile of a two-founder team still at pre-seed stage [Y Combinator, retrieved 2026].
The chronology is short but clear on the core points. Founder materials and Y Combinator profiles indicate ByteAsk was founded in June 2026 by Anirudha Kulkarni and Pratyush Saini, both listed publicly as co-founders, and Y Combinator lists the company in its Fall 2026 batch with a two-person team count at the time captured [Anirudha Kulkarni, retrieved 2026] [Y Combinator, retrieved 2026]. The company website also shows an active hiring page for a Founding C++ Systems Engineer role, which suggests recruiting began soon after formation, although no legal entity name or state filing detail was identified in the cited company materials provided here [ByteAsk, retrieved 2026].
The first external financing milestone followed quickly. Entrackr reported in September 2026 that ByteAsk raised a $1 million pre-seed round led by Y Combinator, and Y Combinator's company page corroborates YC's involvement as both accelerator and investor, though neither cited source discloses valuation or fuller capitalization detail [Entrackr, September 2026] [Y Combinator, retrieved 2026]. On the public record, this leaves ByteAsk as a newly formed San Francisco startup with a focused systems-programming thesis, a YC affiliation, and one disclosed financing event within its first few months.
Partially corroborated -- Core company identity is corroborated by the company website and Y Combinator, but the funding detail in this section relies on a single independent news report plus YC affiliation corroboration, and no state filing was cited.
Under the Hood
MIXED
ByteAsk is positioning around a narrow technical wedge rather than a broad copilot claim: an AI coding agent built specifically for C and C++ codebases, aimed at engineering teams working on software where correctness, performance, and debugging discipline matter more than language coverage breadth [Y Combinator, retrieved 2026] [The Economic Times, September 2026]. Public product descriptions consistently say the agent works from the terminal, edits repository code, and then verifies proposed changes against the project’s actual toolchain before presenting a diff, with cited support for compilers and debugging tools including LLVM, GCC, gdb, Valgrind, and CMake [ByteAsk, retrieved 2026] [Tooljunction.io, 2026] [ByteAsk.vercel.app, retrieved 2026].
The verification loop is the product detail that matters most. According to the company website and mirrored product pages, ByteAsk runs compilers, sanitizers, debuggers, and test suites as part of its workflow, which suggests the company is trying to reduce the gap between code generation and code validation for systems software teams [ByteAsk, retrieved 2026] [Tooljunction.io, 2026] [ByteAsk.vercel.app, retrieved 2026]. That focus appears well matched to the industries mentioned across public sources, including automotive, aerospace, robotics, embedded systems, semiconductors, and high-frequency trading, where C and C++ remain common and failure tolerance is low [The Economic Times, September 2026] [Dealroom.co, retrieved 2026] [IndieFounder, retrieved 2026].
A second product surface is reference-grounding for hardware and firmware work. ByteAsk says it offers tools that search curated corpora of standards, datasheets, register maps, protocol function codes, SCPI commands, and other technical references, and its documentation describes an MCP server designed to supply exact facts from those documents to AI tools such as Claude Code, Codex, and Cursor [ByteAsk, retrieved 2026] [ByteAsk Docs, retrieved 2026]. Public reporting also indicates the company plans enterprise security, privacy, and on-premises deployment infrastructure, which is consistent with the stated target customer set, although these capabilities should be treated as planned rather than broadly evidenced in production today [The Economic Times, September 2026] [Global Startups Insights, retrieved 2026] [eRoof, retrieved 2026].
Partially corroborated -- Product scope is corroborated by Y Combinator, press coverage, and company materials, but several implementation details remain company-described rather than independently verified.
Market Research
PUBLIC
The market matters now because generative coding tools are moving from broad developer assistance toward narrower, verification-heavy workflows, and ByteAsk is positioning itself inside the subset where software errors can carry operational, financial, or safety consequences [Y Combinator, retrieved 2026] [The Economic Times, September 2026].
The available public record does not include a named third-party TAM, SAM, or SOM for ByteAsk’s exact niche, so the cleaner way to frame demand is by buyer profile rather than headline market size. Across public descriptions, ByteAsk is consistently aimed at C and C++ engineering teams in sectors such as automotive, aerospace, robotics, semiconductors, embedded systems, defence, and high-frequency trading, where legacy code, debugging depth, hardware dependencies, and performance constraints matter more than broad language coverage [Y Combinator, retrieved 2026] [India Today, September 2026] [Dealroom.co, retrieved 2026]. That narrows the practical market from general-purpose developer tooling to systems software and mission-critical engineering teams, a smaller segment on paper but one that can support enterprise-grade tooling if the product clears security and workflow hurdles [The Economic Times, September 2026] [Inc42, October 2026].
Public sources also point to a clear demand driver: verification, not just code generation. ByteAsk’s product claims center on editing code from the terminal and then checking changes with compilers, sanitizers, debuggers, and test suites before presenting a diff, which aligns with the needs of teams working in languages and environments where incorrect output is expensive to diagnose after the fact [ByteAsk, retrieved 2026] [Tooljunction.io, 2026] [ByteAsk.vercel.app, retrieved 2026]. That framing is reinforced by third-party coverage describing the company as focused on reliability, performance, debugging, testing, legacy code, and hardware-linked development environments rather than lightweight application coding [IndieFounder, retrieved 2026] [StartupWire, retrieved 2026].
The adjacent markets are broader than the company’s initial wedge suggests. One substitute path is horizontal AI coding assistants that serve many languages and IDE workflows, while another is conventional application security, static analysis, testing, and developer productivity software already embedded in enterprise engineering stacks [Inc42, October 2026] [Tooljunction.io, 2026]. ByteAsk’s public differentiation, according to its own materials and YC profile, rests less on the model layer alone and more on workflow fit for C and C++, terminal-native usage, and grounding against standards, datasheets, and firmware reference material for embedded and safety-sensitive work [ByteAsk Docs, retrieved 2026] [Y Combinator, retrieved 2026].
Macro and regulatory forces also support the category, although the evidence here is directional rather than quantified. Multiple sources say ByteAsk plans to invest in enterprise security, privacy, and on-premises infrastructure, which is a sensible response to buyer concerns around sensitive source code and regulated environments rather than a proven commercial moat by itself [The Economic Times, September 2026] [Global Startups Insights, retrieved 2026] [eRoof, retrieved 2026]. In practice, that means the near-term opportunity is likely strongest where engineering leaders already accept AI assistance in development but need tighter deployment controls, auditability, and lower tolerance for hallucinated code or undocumented behavior [Inc42, October 2026] [Y Combinator, retrieved 2026].
| Market lens | Public evidence | Relevance to ByteAsk |
|---|---|---|
| Core user segment | C and C++ developers in high-stakes industries including automotive, aerospace, robotics, semiconductors, embedded systems, and high-frequency trading [Y Combinator, retrieved 2026] [India Today, September 2026] | Defines the practical target market more clearly than a broad developer-tools category |
| Problem category | Reliability, performance, debugging, testing, legacy code, and hardware dependencies are emphasized in coverage [IndieFounder, retrieved 2026] [The Economic Times, September 2026] | Suggests demand is strongest where generic coding copilots are least sufficient |
| Enterprise buying requirements | Security, privacy, and on-premises deployment are recurring themes in funding coverage [The Economic Times, September 2026] [Global Startups Insights, retrieved 2026] | Points to larger-account potential, but also longer sales and deployment cycles |
| Adjacent substitutes | General AI coding assistants and incumbent testing, debugging, and developer workflow tools [Inc42, October 2026] [Tooljunction.io, 2026] | Implies ByteAsk must win on workflow depth, not novelty alone |
The table underscores the main point: this is less a mass-market developer-tools bet than a concentrated wedge inside enterprise and systems engineering. If demand materializes, it is likely to do so first in teams that already feel the cost of verification and compliance, not in the broad population of software developers.
Partially corroborated -- Section relies on named public sources, but no independent third-party market sizing report for ByteAsk's exact category was identified, and several market descriptions remain company-linked or profile-based.
Competition and Substitutes
MIXED ByteAsk is positioning itself against broad AI coding tools by narrowing the problem to C and C++ workflows where verification, debugger access, and compatibility with existing toolchains matter more than language breadth [Y Combinator, retrieved 2026] [ByteAsk, retrieved 2026] [Tooljunction.io, 2026].
The competitive map is defined less by a tidy peer set and more by substitution risk across three layers. At the top layer sit general-purpose coding assistants and agentic developer tools, including Claude Code, Codex, and Cursor, which ByteAsk itself references through its MCP server documentation as models or interfaces that can consume grounded reference data [ByteAsk Docs, retrieved 2026]. Those products benefit from wider mindshare and faster distribution, but the public record here does not show that they are purpose-built for C and C++ verification workflows. A second layer is the incumbent systems-development stack, namely compilers, sanitizers, debuggers, build systems, and internal developer tooling already used by embedded, automotive, aerospace, and trading teams; ByteAsk's product claim is explicitly that it works with LLVM, GCC, gdb, Valgrind, and CMake rather than asking teams to replace them [ByteAsk, retrieved 2026] [ByteAsk.vercel.app, retrieved 2026]. The third layer is status quo human process, where senior systems engineers, code review, and test infrastructure remain the default substitute in high-stakes environments where reliability carries operational or safety consequences [StartupWire, retrieved 2026] [IndieFounder, retrieved 2026].
The clearest edge visible today is wedge clarity, not scale. Public sources consistently describe ByteAsk as built specifically for C and C++ developers in sectors such as automotive, aerospace, robotics, high-frequency trading, embedded systems, and semiconductors [Y Combinator, retrieved 2026] [The Economic Times, September 2026] [Dealroom.co, retrieved 2026]. That focus matters because these teams often care about compiler behavior, debugging, legacy code, and hardware dependencies more than greenfield application prototyping [IndieFounder, retrieved 2026] [Tooljunction.io, 2026]. The edge is still perishable: much of the product differentiation rests on workflow integration and domain framing that larger coding platforms could imitate if enterprise demand in C and C++ proves material. The more durable angle, if ByteAsk executes, would be a combination of reference-document grounding, on-premises deployment, and deep integration with verification tooling, but parts of that stack remain company-stated plans rather than independently corroborated deployments [ByteAsk Docs, retrieved 2026] [The Economic Times, September 2026] [Global Startups Insights, retrieved 2026].
Exposure is easier to identify than insulation. Cursor, Claude Code, and Codex each have an advantage in existing developer adoption or ecosystem gravity, because a horizontal tool can spread across language teams before a specialist entrant reaches budget owners in regulated or performance-sensitive accounts [ByteAsk Docs, retrieved 2026]. ByteAsk also does not appear, from the public evidence reviewed, to own a privileged channel such as a major cloud marketplace footprint, a named OEM partnership, or a roster of reference customers that would make enterprise procurement easier. Y Combinator is a meaningful signal at this stage, and the founders' prior LawSutra AI exit supports execution credibility, but neither directly solves the distribution problem inside large engineering organizations [Entrackr, September 2026] [Analytics India Magazine, retrieved 2026] [StartupTalky, retrieved 2026].
The most plausible 18-month scenario is a market split rather than a winner-take-all outcome. Cursor is the likely winner if enterprise buyers decide that broad model quality and existing workflow adoption matter more than specialist C and C++ verification depth, because horizontal incumbents can absorb more use cases with lower switching friction. ByteAsk is the likely winner if demand consolidates around sensitive codebases that require terminal-native operation, real-toolchain verification, and eventually on-premises controls, areas the company is explicitly prioritizing [ByteAsk.vercel.app, retrieved 2026] [The Economic Times, September 2026]. The most exposed loser if specialist depth does not translate into procurement urgency is ByteAsk itself, because a narrow wedge without named production deployments can be outpaced by adjacent platforms before the category fully forms [Inc42, October 2026] [Y Combinator, retrieved 2026].
Opportunity
PUBLIC
The prize here is unusually large for a two-person pre-seed startup, because if ByteAsk becomes trusted infrastructure for changing and verifying C and C++ in regulated or failure-sensitive environments, it could sit inside some of the highest-value software workflows in industry rather than at the edges of developer convenience [Y Combinator, retrieved 2026] [The Economic Times, September 2026].
The headline opportunity is not to be a general coding assistant. It is to become the default verification-oriented coding layer for teams maintaining software where correctness, performance, legacy constraints, and hardware dependencies all matter at once [Y Combinator, retrieved 2026] [Tooljunction.io, 2026] [IndieFounder, retrieved 2026]. That is a narrower entry point, but the evidence makes it more reachable than it first appears. ByteAsk is explicitly built around C and C++, works from the terminal, and is described as running real compilers, sanitizers, debuggers, and test suites before presenting a diff, which aligns the product with how systems engineers already validate code rather than asking them to trust a model-only workflow [ByteAsk, retrieved 2026] [Tooljunction.io, 2026] [ByteAsk.vercel.app, retrieved 2026]. The company is also framing enterprise security, privacy, and on-premises deployment as part of the product roadmap, which matters because the initial buyer set includes high-frequency trading, automotive, aerospace, defense, and embedded systems teams that often treat source code exposure and deployment control as gating issues rather than preferences [The Economic Times, September 2026] [eRoof, retrieved 2026] [Global Startups Insights, retrieved 2026].
A plausible path to scale branches into a small number of distinct outcomes rather than one monolithic bet.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Verification layer for safety-critical engineering | ByteAsk becomes the standard assistant for editing and checking C/C++ inside enterprise workflows where teams must prove code changes against real toolchains | Delivery of enterprise security and on-premises deployment for sensitive customers [The Economic Times, September 2026] | The current product already centers on compilers, sanitizers, debuggers, and tests instead of text generation alone, which fits the needs of reliability-sensitive teams [Tooljunction.io, 2026] [ByteAsk.vercel.app, retrieved 2026] |
| Reference infrastructure for embedded and firmware teams | The MCP server and curated technical corpus become the trusted source layer that other coding tools call when working with datasheets, register maps, and standards | Broad adoption of grounded reference workflows across Claude Code, Codex, Cursor, and adjacent tools [ByteAsk Docs, retrieved 2026] | ByteAsk already claims an MCP server that returns exact facts from embedded and firmware references, which points to a product surface that could extend beyond its own agent [ByteAsk Docs, retrieved 2026] |
| System-of-record assistant for legacy C/C++ estates | Large enterprises start with narrow internal teams, then expand usage across long-lived codebases in sectors like automotive, semiconductors, and trading | A category-tipping deployment inside one large enterprise account in its stated target verticals [eRoof, retrieved 2026] [Dealroom.co, retrieved 2026] | The company is initially focusing on large enterprises and on software environments where debugging, testing, legacy code, and hardware dependencies are central, not incidental [eRoof, retrieved 2026] [IndieFounder, retrieved 2026] |
What compounding looks like is product trust turning into workflow lock-in. If ByteAsk can reliably edit code, run the same verification steps engineers already depend on, and return grounded technical references from standards and datasheets, each successful use case should deepen both user reliance and switching costs [ByteAsk, retrieved 2026] [ByteAsk Docs, retrieved 2026]. A team that standardizes one assistant around LLVM, GCC, gdb, Valgrind, and CMake is not only adopting a model interface, it is embedding that tool in the daily loop of build, debug, and review [ByteAsk, retrieved 2026]. That creates the beginnings of a flywheel: more enterprise use yields harder edge cases in legacy and hardware-linked environments, those edge cases improve evaluation and verification coverage, and stronger verification makes the product more acceptable to the next risk-sensitive customer. The early signs are still company-led, but the emphasis on evals, enterprise services, and deployment controls suggests ByteAsk understands that compounding in this market comes from trust and integration depth, not from raw seat count alone [Inc42, October 2026] [The Economic Times, September 2026].
The size of the win is hard to anchor cleanly because no public market comparable in the supplied sources isolates C and C++ verification agents as a category. Even so, the public record supports a concrete upside frame. If ByteAsk were to become the default verification-oriented coding platform for a meaningful slice of enterprise C/C++ engineering, the outcome could resemble infrastructure software rather than point tooling, especially if subscriptions are paired with enterprise services as reported [Inc42, October 2026]. In that scenario, the company could justify a multibillion-dollar enterprise value (scenario, not a forecast), because it would be selling into sectors where software defects carry outsized operational and financial cost, and where deployment, privacy, and correctness requirements can support premium budgets [The Economic Times, September 2026] [Y Combinator, retrieved 2026]. That upside still depends on ByteAsk proving that its verification-first approach works at production depth, but the target problem is large enough that a winner in this niche would not need mass-market adoption to matter.
Partially corroborated -- This section relies on one independently reported financing narrative and multiple company or company-adjacent descriptions of product scope, with no confirmed public customer or revenue evidence [The Economic Times, September 2026] [Entrackr, September 2026] [Y Combinator, retrieved 2026].
Sources
Open sources
[ByteAsk, retrieved 2026] ByteAsk. The AI coding agent for C and C++ that verifies its own work | https://byteask.ai/
[Anirudha Kulkarni, retrieved 2026] Anirudha Kulkarni - Building ByteAsk (YC F26) | https://www.linkedin.com/in/anirudha-kulkarni47/
[Entrackr, September 2026] Y Combinator leads $1 Mn pre seed round in ByteAsk | https://entrackr.com/snippets/y-combinator-leads-1-mn-pre-seed-round-in-byteask-12568747
[Inc42, October 2026] The Case For Evals In A Multi-Model World | https://inc42.com/features/the-case-for-evals-in-a-multi-model-world/
[LinkedIn, retrieved 2026] Pratyush Saini - Founder, CTO @ ByteAsk (YC F26) | https://www.linkedin.com/in/pratyush-saini-96108a1a7/
[Y Combinator, retrieved 2026] ByteAsk: The AI coding agent for C and C++ | Y Combinator | https://www.ycombinator.com/companies/byteask
[Tooljunction.io, 2026] ByteAsk Review (2026): Features, Setup, Alternatives | https://www.tooljunction.io/ai-tools/byteask
[Analytics India Magazine, retrieved 2026] AI coding startup ByteAsk raises $1 million to develop agents for C and C++ developers | https://analyticsindiamag.com/ai-news-updates/ai-coding-startup-byteask-raises-1-million-to-develop-agents-for-c-and-c-developers/
[StartupTalky, retrieved 2026] LawSutra AI acquired by Manupatra: IIT Delhi duo's startup journey | https://startuptalky.com/lawsutra-ai-manupatra-acquisition/
[The Economic Times, September 2026] AI coding startup ByteAsk raises $1 million from YC, Entrepreneur First | https://economictimes.indiatimes.com/tech/startups/ai-coding-startup-byteask-raises-1-million-from-yc-entrepreneur-first/articleshow/134443548.cms?from=mdr
[Global Startups Insights, retrieved 2026] ByteAsk Raises $1 Million Pre-Seed for AI Coding Agents | https://www.globalstartupsinsights.com/funding/san-francisco/byteask-raises-1-million-pre-seed-for-ai-coding-agents/
[ByteAsk.vercel.app, retrieved 2026] ByteAsk - AI coding agent for C and C++ | https://byteask.vercel.app/
[IndieFounder, retrieved 2026] ByteAsk founder profile | https://www.indiefounder.co/
[Dealroom.co, retrieved 2026] ByteAsk company profile | https://dealroom.co/companies/byteask
[India Today, September 2026] IIT Delhi grads build, sell AI startup in 4 months | https://www.indiatoday.in/jobs/in-focus/story/iit-delhi-graduates-byte-ask-raise-1-million-for-ai-coding-agents-for-c-and-c-plus-plus-educ-3002521-2026-09-25
[ByteAsk Docs, retrieved 2026] ByteAsk Docs | https://docs.byteask.ai/
[StartupWire, retrieved 2026] ByteAsk company coverage | https://startupwire.in/
[eRoof, retrieved 2026] ByteAsk Raises $1M in YC-Led Pre-Seed Round | https://eroof.community/byteask-raises-1m-yc-pre-seed-funding/
Articles about ByteAsk
- ByteAsk's AI Agent Runs the Compiler Before the Commit — The YC-backed startup is building coding agents for mission-critical industries where a bug can cost millions, or lives.