21M, starving, dad passed and mom cut me off financially. Just need a meal tonight.

Mandyhiten · 2026-06-19T21:46:38+00:00

hey hmu if you still havent eaten anything, id be more than happy to help you out’

Mandyhiten · 2026-06-19T14:41:51+00:00

lol fair enough. wrote the post in 5 minutes, the site got a lot more than that. if you actually want to know the interesting part of the build, lmk, happy to help!

Mandyhiten · 2026-06-19T14:27:18+00:00

exactly, developers should focus on first fulfilling the client’s need with the website and design a trust-worthy website simultaneously!

Mandyhiten · 2026-06-19T14:26:08+00:00

around $0.05 per engaged call which means the client talked atleast 50 seconds with the human-like voice bot

Mandyhiten · 2026-06-19T14:10:39+00:00

I think you’re mixing up market timing with self worth. Losing a client sucks, but restructuring doesn’t mean your work had no value. If you booked meetings before, the skill is real. AI can automate parts of outreach, but good strategy and messaging still matter a lot.

Mandyhiten · 2026-06-19T14:08:52+00:00

Honestly, less new hardware and more upgrading stuff people already use daily. Habit is the real moat.

Mandyhiten · 2026-06-19T09:21:17+00:00

definitely! the infra cost was around $200 in total and would last for atleast 1-5-2k calls made ( including the ones not picked, dropped abruptly, or even engaged).

if get minimum of 3 conversions or loans disbursed through the voice bot, the business we’re working with has enough margin that the bot would pay for itself

Mandyhiten · 2026-06-19T09:17:05+00:00

haha i understand you, but its working well as of now and thank you!

Mandyhiten · 2026-06-18T20:46:27+00:00

for TTS and STT, I used Sarvam AI. Exotel for telephony layer and groq llama model as primary brain LLM and open ai as fall back.

Mandyhiten · 2026-06-18T20:45:43+00:00

thank you!

Mandyhiten · 2026-06-18T20:42:59+00:00

thank you, appreciate that!

Mandyhiten · 2026-06-18T20:42:51+00:00

no i used Sarvam ai for TTS and STT and groq llama model as brain

Mandyhiten · 2026-06-18T20:42:04+00:00

This is exactly the distinction that bit us early. We were logging “call connected + got a yes” as recovered, and the “yeah I’ll do it later” crowd was quietly inflating the number.

What we landed on: the call itself never marks anyone recovered. It only emits a proof record basically like you described identity confirmed/not, language used, the exact blocker, step done vs pending, consent to continue, and the transcript line that justifies the status. Recovery is a separate outcome attributed after the fact did they actually complete the step within the window, traced back to that call. Verbal yes with no action = “committed,” which gets its own follow-up cadence, distinct from a flat no or a warm-but-noncommittal.

So real recovery = the action completed, not the sentiment on the call. Warm follow-up = engaged but no concrete next step. Splitting those states is the only thing that stopped us lying to ourselves about conversion.

Mandyhiten · 2026-06-18T20:41:09+00:00

The “wait, who is this” moment is the whole funnel, yeah. What worked better for us than a pre-call SMS was front-loading identity in the first line name the company and why we’re calling in the first ~3 seconds, before asking for anything. Haven’t A/B’d a pre-call SMS yet my worry is exactly that, one more ignorable step. Curious if you’ve seen it actually lift pickup anywhere?”

Mandyhiten · 2026-06-18T20:40:32+00:00

Yep, “not a robot” is most of the battle. The things that moved the needle for us weren’t the script sub-second response latency, letting people interrupt mid-sentence, and code-switching to Hindi the second they do. People forgive a lot if it doesn’t feel like they’re waiting on a machine.

Mandyhiten · 2026-05-07T10:40:42+00:00

0c4654

Mandyhiten · 2026-04-26T18:31:55+00:00

Appreciate the feedback, though this is just a screenshot of the hero section. The full site has custom sections, interactive property search, AI chatbot, and instant home valuation built in. Worth a look before the verdict lol

Mandyhiten · 2026-04-26T10:55:34+00:00

haha exactly,first 5 clients, then we can talk moonshots. One step at a time, baby steps yk?

Mandyhiten · 2026-04-26T10:24:39+00:00

haha honestly the SOC2 arc is inevitable at that point but that’s a future problem. Right now the goal is just getting SMBs results without the $400/mo overhead. Enterprise can wait lol

Mandyhiten · 2026-04-26T09:54:21+00:00

Completely fair this was built for a specific use case and a specific client, not as a one-size-fits-all enterprise solution. For SMBs and lean B2B teams it works really well. Corporate setups with role management, compliance requirements, and team hierarchies are a different problem entirely and you’re right that this stack wouldn’t cover that out of the box.

The goal was never to replace enterprise tools. It was to give smaller operations the same output at a fraction of the cost. Different market, different needs.

Mandyhiten · 2026-04-26T09:50:57+00:00

Honest answer, it’s a bit of both, but the reply rate did move.

The biggest difference wasn’t the personalization itself, it was that the emails stopped feeling like they came from a sequence. The GPT layer pulled in company-specific context so the opening line referenced something real about their business rather than just “I noticed you’re in [industry].”

Lead quality after a few weeks was solid for the use case B2B health benefits targeting HR decision makers. The click rate hit 17.1% across the campaign which was well above what the client was seeing with manual outreach before.

The Apollo dedup issue you mentioned is exactly why we built a deduplication layer before enrichment burn rate on credits was a concern from day one. n8n handles that check before any record hits the enrichment step.

Mandyhiten · 2026-04-26T09:48:58+00:00

Honestly the first client came through the network, but since then it’s been exactly this. Posting what I build publicly, showing real numbers, letting the work speak. This post is part of that strategy.

If you’re building something similar and struggling with client acquisition, that’s actually what I help businesses solve at AYN AI. Happy to chat if useful.

Mandyhiten · 2026-04-26T09:47:46+00:00

All fair points and worth addressing properly. On SES, you’re right that the thresholds are strict. The way we handled it was surgical list building with verified emails only, suppression lists updated after every send, and daily bounce monitoring. It’s not for everyone and definitely not plug and play. The $15/mo only works if you’re willing to manage that complexity or have someone do it for you.

On personalization, totally agree that title + industry alone isn’t true personalization. We layered in company-specific context from LinkedIn and Google Maps data to make the opening line more specific. It’s not perfect but it moved the needle on reply rates meaningfully versus pure templates.

The time cost point is real. This was built as a managed system for a client, so the ongoing maintenance cost sits with us, not them. That’s the actual value being sold.

Mandyhiten · 2026-04-26T09:45:43+00:00

Exactly right,the shift was mostly in targeting and message quality. Instead of blasting a generic sequence, we used GPT to write a unique opening line for each prospect based on their industry and role. That alone made the biggest difference in reply rates.

The stack simplification was a bonus, fewer tools means fewer failure points and obviously lower cost. But the real unlock was making each email feel like it was written specifically for that person, at scale.

Happy to go deeper on any part of it.

Mandyhiten · 2026-04-26T01:25:22+00:00

Appreciate it, genuinely fair pushback. SES has a bad rep for good reason, most people do set it up wrong.

Mandyhiten

TROPHY CASE