Hi HN! We're Gobhanu and Saatvik (brothers), building Vela (https://tryvela.ai) - AI agents that handle multi-party, multi-channel scheduling.Scheduling is a constraint satisfaction problem disguised as email! It’s easy when it’s two people, one timezone, one channel. But it becomes a constraint satisfaction problem when inputs are unstructured natural language across multiple communication channels, constraints change mid-solve, and the objective function includes social dynamics that don't exist formally anywhere.What if scheduling just happened? For example: a recruiter sends one message, and every interview across five candidates, three hiring managers, and two time zones gets booked, confirmed, and updated automatically. No links, no back-and-forth, no one spending hours with 20 emails. Everyone just gets the right invite at the right time, on whatever channel they actually use. That's what we built Vela to do.You loop in Vela into your emails, SMS, WhatsApp, Slack, phone or integrate into an ATS etc and it takes over: reads context, checks calendars, proposes times, follows up when people ghost, and rebooks when things shift.One of our first customers is a staffing firm that searched for a scheduling solution for almost eight years. Their coordinators manage hundreds of candidate-client interviews where each side needs separate email threads, separate Zoom accounts to avoid double-booking links, and calendar invites connecting parties who never directly communicate. A client reschedules one interview and it cascades into four others. A candidate responds on SMS to a thread that started on email. Vela solved this in just 10 minutes of onboarding.The hardest part has been the data problem. Scheduling behavior varies enormously across populations. C-suite folks respond to email within hours and expect formal 3-option proposals. Truck drivers applying for logistics roles respond to SMS at odd hours from shared devices with "y tm wrks.
FL score
out of 100
Verdict
high confidence
Competition
16
competitors found, emerging market, funded players
Trend
8 community mentions
An AI agent for complex, multi-party, multi-channel scheduling using unstructured natural language, primarily for industries like staffing.
The pain
The gap
Build angle
Strengths
Questions about this idea?
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Risks
Next steps
Fly Labs Method
Is the pain real, is there a gap, is it the right time, can one person build it.
High-value problem with a clear gap, but significant build complexity for a solo founder.
Value Equation
Dream outcome and how likely it feels, against the time and effort it costs.
Strong market need and clear value proposition with a good moat, but high technical build complexity.
One-Person Business
Curiosity pull, identity fit, and a path from free value to paid for a solo creator.
A clear, specific problem with good monetization potential, but high build complexity and uncertain solo-creator fit.
Viral Frameworks
Hook strength, shareability, and how cheaply it can be tested.
Strong target audience and value proposition for a micro-SaaS, but high technical and adoption risks requiring continuous validation.
Builder Lens
Evidence the problem exists, timing, defensibility, and a model that fits on a napkin.
Strong demand, clear pain, specific wedge, and future-proof concept, but the 'observation and surprise' and 'future fit' need more unique insights.
Why this verdict
Five lenses, one composite. How scoring works
The angle
This weekend
Who is already there, emerging market
Calendly is a widely used scheduling tool that allows individuals and teams to automate meeting bookings.
Pricing: Free plan; Standard: $10/user/month (billed annually); Teams: $16/user/month (billed annually); Enterprise: Custom pricing.
Chili Piper is a scheduling and routing platform focused on helping B2B revenue teams convert demand into qualified meetings.
Pricing: Chili Piper offers subscription plans based on its product functionalities (Instant Booker, Handoff, Form Concierge, Distro); no free trial or freemium option publicly listed, though some sources are contradictory.
SavvyCal is a scheduling tool that focuses on a collaborative booking experience by allowing recipients to overlay their calendars on yours.
Pricing: Free plan (limited); Basic: $12/user/month (billed annually); Premium: $20/user/month (billed annually).
Doodle is a popular scheduling tool known for its polling feature, allowing groups to find mutually convenient meeting times.
Pricing: Doodle offers paid plans, with most conferencing integrations available on these plans. (Specific pricing numbers not found in results)
Clockwise uses AI to optimize team calendars, create focus time, and automatically schedule meetings.
Pricing: Free: $0; Teams: $6.75/user/month (billed annually); Business: $11.50/user/month (billed annually); Enterprise: Custom pricing.
Reclaim.ai is an AI calendar assistant that intelligently blocks time for tasks and habits, and finds the best times for meetings.
Pricing: (Pricing not found directly in search results, but mentioned in comparison with Sunsama alternatives.)
Motion is an intelligent daily planner that automatically builds and optimizes your schedule using AI for tasks and meetings.
Pricing: $29+/month.
Sunsama is a daily planning tool that guides users through setting a daily plan by integrating tasks and calendars.
Pricing: $25/month per person (monthly) or $20/month per person (yearly, billed annually); no free plan, but a 14-day free trial.
Homebase is a software solution for tracking hours, scheduling, and payroll for local businesses and employees.
Pricing: Basic: $0 (1 location, up to 20 employees); Essentials: $30/location/month; Plus: $70/location/month; All-in-One: $120/location/month (all billed monthly). Payroll is an add-on for $39 base fee/month + $6/employee paid/month.
Deputy is a workforce management solution that streamlines scheduling, time tracking, and communication for businesses.
Pricing: (Pricing not explicitly found in search results, but mentioned as an alternative to When I Work.)
When I Work is an employee scheduling and time tracking software.
Pricing: Offers a free version for basic scheduling. (Specific paid plan pricing not explicitly found in search results.)
Jiminny is a conversation intelligence platform designed for coaching sales representatives.
Pricing: A 10-person team pays ~$9,960/year for 10 recording seats. (Enterprise-level pricing common.)
What they charge
What people say, 8 mentions
Some of the most successful founders I've worked with never played by the "startup rules" everyone posts about
r/SaaS
PE is dumping billions into home care despite 79% caregiver turnover. Heres why.
r/Entrepreneur
PART 1: YOU MUST READ THIS, I SPENT 3 YEARS BUILDING A COMPLEX PRODUCT… AND MADE ZERO SALES, ZERO MRR.
r/SaaS
After deploying AI agents for 100+ companies, here's why 90% of voice AI implementations fail (and it's not the technology)
r/Entrepreneur
You looking to buy these AI hyped Saas but smart money is betting somewhere else
r/Entrepreneur
Stop making stupid SaaS and start solving real niche problems
r/SaaS
I spent 6 months analysing 847 startups that build products customers said they wanted. 92% failed anyway. The ones that won did the OPPOSITE of user feedback. This is Part 2/5: The Product Truths. (My product team stopped speaking to me.)
r/SaaS
What expensive software are you using that you wish had a free/open-source alternative?
r/Entrepreneur
Recent news
8 Best SavvyCal Alternatives for Smarter Scheduling - Skej
Skej, March 16, 2026
Best SavvyCal Alternatives: Beyond Personalized Booking Pages
SaaS Landing Page (Alfred_AI), February 25, 2026
Clockwise Pricing in 2026: Plans, Cost & What You Actually Get - alfred_ AI
Alfred_AI, February 24, 2026
Sunsama Pricing: Is It Worth It in 2026? - alfred
Alfred_AI, February 24, 2026
Homebase Pricing: A Comprehensive Guide | Capterra
Capterra, February 19, 2026
Market signals
The market for complex scheduling is large and growing, with a clear trend towards AI-powered solutions that automate and optimize schedules across multiple parties and channels. Recent news indicates a strong focus on individual and team productivity, with many tools offering features to protect focus time and streamline meeting coordination. There's also a clear need for advanced routing and lead qualification in B2B sales. Funding rounds are frequent, indicating investor interest in this space.
What frustrates people
Last summer we faced a conundrum at my company, Tiger Data, a Postgres cloud vendor whose main business is in timeseries data. We were trying to grow our business towards emerging AI-centric workloads and wanted to provide a state-of-the-art hybrid search stack in Postgres. We'd already built pgvectorscale in house with the goal of scaling semantic search beyond pgvector's main memory limitations. We just needed a scalable ranked keyword search solution too.The problem: core Postgres doesn't provide this; the leading Postgres BM25 extension, ParadeDB, is guarded behind AGPL; developing our own extension appeared daunting. We'd need a small team of sharp engineers and 6-12 months, I figured. And we'd probably still fall short of the performance of a mature system like Parade/Tantivy.Or would we? I'd be experimenting long enough with AI-boosted development at that point to realize that with the latest tools (Claude Code + Opus) and an experienced hand (I've been working in database systems internals for 25 years now), the old time estimates pretty much go out the window.I told our CTO I thought I could solo the project in one quarter. This raised some eyebrows.It did take a little more time than that (two quarters), and we got some real help from the community (amazing!) after open-sourcing the pre-release. But I'm thrilled/exhausted today to share that pg_textsearch v1.0 is freely available via open source (Postgres license), on Tiger Data cloud, and hopefully soon, a hyperscalar near you:https://github.com/timescale/pg_textsearchIn the blog post accompanying the release, I overview the architecture and present benchmark results using MS-MARCO. To my surprise, we were not only able to meet Parade/Tantivy's query performance, but exceed it substantially, measuring a 4.7x advantage on query throughput at scale:https://www.tigerdata.com/blog/pg-textsearch-bm25-fu
AI
Hi HN!I recently switched from a Fedora/GNOME laptop to a MacBook Air. My old setup served me well as a portable workstation, but I’ve started traveling more while working remotely and needed something with similar performance but better battery life. The main thing I missed was a simple taskbar that shows the windows in the current workspace instead of a Dock that mixes everything together.I built boringBar so I would not have to use the Dock. It shows only the windows in the current Space, lets you switch Spaces by scrolling on the bar, and adds a desktop switcher so you can jump directly to any Space. You can also hide the system Dock, pin apps, preview windows with thumbnails, and launch apps from a searchable menu (I keep Spotlight disabled because for some reason it uses a lot of system resources on my machine).I’ve been dogfooding it for a few months now, and it finally felt polished enough to share.It’s for people who like macOS but want window management to feel a bit more like GNOME, Windows, or a traditional taskbar. It’s also for people like me who wanted an easier transition to macOS, especially now that Windows feels increasingly user-hostile.I’d love feedback on the UX, bugs, and whether this solves the same Dock/Spaces pain for anyone else.P.S. It might also appeal to people who feel nostalgic for the GNOME 2 desktop of yore. I started my Linux journey with it, and boringBar brings back some of that feeling for me.
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### Describe the project you are working on Godot C# bindings ### Describe the problem or limitation you are having in your project For the past weeks, I've been discussing with several Unity users intending to move to Godot C# regarding dealing with the C# garbage collector. The most common complaint I hear from users is that, in Unity, allocations can trigger unexpected GC spikes into the game. In Godot, we target to make all of the high performance APIs (those that intended to be called every frame) not allocate any memory, so theoretically the GC should not be a problem. Additionally, Godot starting from 4.0, uses the Microsoft CoreCLR version of .net, which also supposedly has a better garbage collector than Unity. But in all, after several discussions with Unity users, neither is enough reassurance for them, and they would really feel safer if Godot exposed a zero allocation API. ### Describe the feature / enhancement and how it helps to overcome the problem or limitation The idea of this proposal is that Godot exposes zero allocation versions of many functions in the C# API, that users can use if they desire. Technically, this could be done from the binding generator itself, without breaking compatibility, and without doing any modification to Godot itself. ### Describe how your proposal will work, with code, pseudo-code, mock-ups, and/or diagrams **WARNING** I am not familiar with C#, so take this as pseudocode. Imagine you have two functions exposed as to C#: ```C# void MyClass.SetArray( Vector2[] array); Vector2[] MyClass.GetArray(); ``` This works and is pretty and intuitive. However, it has two problems: * GC is allocated on return * Memory is copied to Godot native formats every time there is a call. The idea is to add NoAlloc versions, which can be generated directly by the binder automatically when required: ```C# void MyClass.SetArrayNoAlloc( Godot.Collections.PackedVector2Array array); void MyCl
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