SaaS ideas your next customers are already looking for
100 SaaS startup ideas for the people who said they'd pay, from agency owners to dentists. Micro SaaS ideas, AI SaaS ideas and B2B SaaS ideas: find yours, build it, sign them up.
Popular:
| # | Idea |
|---|
No idea matches this filter.
Pain points in business: what people struggle with
Search the problems to solve, as people described them on Reddit and other platforms, in their own words.
Popular:
| # | Pain point |
|---|
No pain point matches this filter.
Unreliable Voice Agents
Voice agents break in production due to latency, barge-in, turn-taking, and messy real-call conditions.
In their words
The agent handles the mechanics fine but comes across as flat or form-filling, especially on emotionally charged calls
the biggest difference is how it handles conversations that dont follow a script
is there any tool that shows one end-to-end timeline per interaction, device included?
to everyone said sub-200ms was the goal for voice agents. we hit and calls STILL felt laggy.
the agent needs to start talking before the caller thinks the line dropped
The thing that breaks these flows fastest is interruption handling. People talk over the bot, answer while walking outside, cough, hand the phone to someone else
788ms voice-to-voice is the wall i cant seem to get consistently under
Handling barge-in, mid-sentence corrections, "hold on a sec," and callers who answer a question while asking a new one — without the agent restarting a step or talking over them
What I'm struggling to determine from benchmarks is how good the full pipeline feels in an actual phone conversation.
Is anyone building a low cost ai voice agent cause I find all the voice agents are costly as of now
im still getting 1000ms ttft i wanna reduce it to 400 - 600ms
The problem here is reliability. The setup is too unstable.
I have built a few voice based integrations into my applications that use these live agents (gpt and gemini), but they are always too expensive to be viable.
the single hardest thing has been the bot cutting people off. Older folks pause mid-sentence to find a word, and every VAD setup
Voice agent developers
Where they talk
- r/AI_Agents
- r/VoiceAutomationAI
- r/AIVoice_Agents
- r/aiagents
- r/hermesagent
- r/LLMDevs
- r/speechtech
- r/developersIndia
Tools they use today
- ChatGPT
- Deepgram
- LiveKit
- ElevenLabs
- Gemini
- Retell
- TTS
- Twilio
Why those fall short
- View Assist flaky, pollutes HA with blueprints; Kiosk Satellite requires full LLM backend
- Gemini cannot reliably detect when user stopped speaking, causing long waits
- raw response time does not capture perceived lag
- no clean pattern to gate partials from CRM writes
- benchmarks measure the wrong stuff for live agents
Map of ideas
Drawing the map…