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ByePhone- An AI assistant to automate tedious phone calls

Details

External ID
47111179
Source
HN
Company
—
Product
ByePhone- An AI assistant to automate tedious phone calls
Website domain
byephone.io
Launched
Feb. 22, 2026
Cohort
—
Upvotes
5
Upvotes percentile
0.10512129380053908
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

I have a bit of phone anxiety, and have a ton of dread around making phone calls to restaurants, banks, doctors, and so on and on.I thought: AI could do this with a web form turned into a prompt.Stack started out simple -> using 11labs for voice + claude + twillio, but it actually got rather complex (even though I tried vibe coding most).First off, finding the phone numbers quickly is hard. This is done by scraping the web with some basic duckduckgo search and structure with openai calls.Second, collecting the right information. I’m still struggling a bit with this but the architecture is that: A) user puts in call objective and business name B) if keywords are detected spin up one of the default form categories C) if not, get structured json from gpt-4o-mini and turn into react formThe cost of making a single call spun out of control, but luckily sonnet can handle a lot of the calls and I’m ok paying for twillio.Ended up taking months to build my week-long project because of course.It’s still WIP so feel free to email me: [email protected] with any ideas or issues u ran into. \

Enrichment

Theme
ai agents for calls and meetings
Vertical
Horizontal
Function
Agent / copilot
Audience
B2B
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
ai assistant to automate phone calls
Manually corrected
False

Could you build this?

Partial While basic telephony voice agents are straightforward to wire up, building an agent that reliably navigates interactive phone menus (IVR/DTMF), handles long hold times, and deals with complex customer service representatives requires complex state-machine orchestration.

What it would actually take: The architecture relies on Twilio for telephony, Deepgram/ElevenLabs for streaming audio, and an LLM orchestration layer via WebSockets. The challenging parts include robust dual-tone multi-frequency (DTMF) detection/generation to navigate automated phone trees, silence/hold-music detection, and low-latency interruption handling when a live human picks up. Specialized voice pipeline engineering is needed to prevent audio desync and handle edge cases during hour-long support calls.

Discussion

3 comments analyzed.

Competitors mentioned: eboo.ai (production voice agents)

Concerns raised: Cost and complexity of real-time voice flows, LLM token costs from prompt bloat and retry loops, Latency issues with Twilio integration, Phone number discovery and scraping performance

Feature requests: Scheduling phone calls, More voice customization beyond gender

Competitors

Other products that read as similar to this one — 100 launches clear the similarity bar, closest 8 shown.

Attention rank: #93 of 101 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 115 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.