LobbyStack VS Topolog
Compare LobbyStack VS Topolog and see what are their differences
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LobbyStack
My AI Front Desk
Upfirst AI
Podium
Dialpad
Dialzara
Goodcall
Smith.ai
Topolog
monday.com
Asana
ClickUp
Trello
MS Project
PlanningPME
Planoramic.io
LobbyStack is the open-source AI receptionist for calls, texts, and appointments.
Missed calls, slow replies, and manual scheduling cost small businesses real revenue. LobbyStack gives your business a 24/7 AI front desk that answers phone calls, responds to SMS messages, books appointments, handles reschedules and cancellations, and knows when to transfer the conversation to a human.
With LobbyStack, customers can call or text your business number and get help right away. The AI receptionist can answer common questions, collect caller details, take messages, qualify requests, offer available appointment times, send confirmations, and create follow-up tasks for your team.
Teams manage everything from a web dashboard: business hours, services, availability, receptionist instructions, phone numbers, call history, transcripts, recordings, tasks, and customer conversations. You can train the receptionist with your business details, FAQs, policies, documents, and website content, so it answers from approved information instead of guessing.
LobbyStack is built for appointment-based and service businesses that depend on fast customer response, including local services, professional services, repair businesses, agencies, consultants, clinics, wellness teams, salons, studios, and other teams that handle recurring customer calls and bookings.
Unlike most AI receptionist tools, LobbyStack is open source and self-hostable. Use the hosted cloud version when you want everything managed for you, or run it on your own infrastructure when you need more control.
Use LobbyStack to:
LobbyStack is an open-source alternative to Myaifrontdesk, Upfirst, Goodcall, Phonely, and other closed AI receptionist platforms.
Topolog turns any goal into a dependency graph and schedules your days around it. You get a structured plan, a completion spectrum, and a task list that adapts as you mark them done. Every plan is a real program, so the dates and odds are computed, not guessed.
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Topolog's answer:
Built by a solo founder with 14 years across Meta, Media.net, Amazon and others. After watching countless projects miss deadlines, not from incompetence but from tools that gave one fake date, I set out to build a planning engine that takes uncertainty seriously. The result is Topolog: a formally total scheduling language, a deterministic Monte Carlo engine, and a Bayesian self-tuning scheduler. Built entirely solo with Claude Code and Devin as AI engineering partners. Zero VC, zero team, 100% ownership.
Topolog's answer:
Anyone running a goal with real dependencies and real stakes: technical project managers, engineering managers, founders, and ambitious individuals planning complex personal projects like home renovations, album productions, or marathon training. The unifying characteristic is feeling the pain of planning tools that lie about deadlines. Topolog is for people who want to know their actual odds, not a false sense of certainty.
Topolog's answer:
Every other planning tool gives you one deadline, the one you'll miss. Topolog gives you the full picture: a dependency graph that knows what blocks what, a Monte Carlo completion spectrum showing your real odds, a critical path that updates as you execute, and a budget tracker tied directly to your probability of success. MS Project has critical path but no probabilistic engine. Monday and Asana have boards but no complete dependency model. AI tools hallucinate dates. Topolog computes them.
Topolog's answer:
Topolog treats every plan as a program. Plans are written in TOL (Total Orchestration Language), a formally total, decidable language where the scheduler and Monte Carlo engine compute dates and probabilities deterministically. The AI drafts structure but never touches the maths. You get a completion spectrum (a probability distribution over outcomes), honest deadline ranges (a floor and a ceiling, never one date you'll miss), and a Bayesian self-tuning scheduler that learns your real pace from timestamps alone. The planning language is public, you can author plans with any AI and run them through Topolog's engine.
Topolog's answer:
Topolog is a TypeScript-first web app built around a custom stochastic-planning engine:
Frontend: Next.js 15 (App Router) with React 18 and TypeScript, styled with Tailwind CSS. The interactive plan canvas uses dagre / ELK (elkjs) for graph layout.
Core engine: an in-house DSL ("TOL") plus a Monte Carlo stochastic-forecasting engine, written in pure isomorphic TypeScript so it runs identically on the server and in the browser.
Backend & data: Supabase (PostgreSQL, auth, and SSR), with the API layer on Next.js route handlers. Stripe handles billing.
AI authoring: a model-router layer that calls GPT (OpenAI), and Mistral for plan authoring and review.
Infra & quality: deployed on Vercel (Analytics + Speed Insights), error monitoring via Sentry, and tested with Jest + Playwright.
My AI Front Desk - My AI Front Desk is a virtual receptionist software for businesses to automate appointment scheduling and customer service over the phone 24/7. Customers can text it, call it, ask it complex questions, and it talks just like a human receptionist.
monday.com - The most intuitive platform to manage projects and teamwork
Upfirst AI - Never miss another call with the affordable AI answering service designed for small businesses.
Asana - Asana project management is an effort to re-imagine how we work together, through modern productivity software. Fast and versatile, Asana helps individuals and groups get more done.
Podium - Podium helps your business get more customer reviews, manage customer feedback, customer interaction, and online review management from one software.
ClickUp - ClickUp's #1 rated productivity software is making more productive projects with a beautifully designed and intuitive platform.