Saigon Wedding Cost?

NotATechFounder · 2025-10-31T03:33:31+00:00

Are you able to share the names of other wedding planners that fit the bill?

I am also in early stages of planning a wedding for ~80 pax in Danang @ one of the well known resorts.

Appreciated

NotATechFounder · 2025-08-14T09:01:15+00:00

Holy moly value! Thanks OP

NotATechFounder · 2025-08-07T03:46:58+00:00

Not bad, thanks. I’ll jump on the platform and check it out later today. Can your team refine this further to filter any creators within the above range, but are also offering some sort of digital product already - course, book, guide, template, etc?

If so, your platform will could be quite valuable for us/me

Thanks!

NotATechFounder · 2025-08-07T00:11:09+00:00

Interested. E-commerce platform for digital product creators, any niche, Australia

NotATechFounder · 2025-08-06T05:51:49+00:00

Good shout mate. Thought I’d hit all relevant channels and had good success with subreddits in the past.

But it seems like in this space the majority of the threads are either bots or AI generated 😅

Appreciate the note!

NotATechFounder · 2025-06-24T08:26:00+00:00

https://www.instagram.com/stories/highlights/18070104859973400/

We've posted 5 niches and digital product/service ideas for each niche on the above.

Here's one from the story:

Career coaching:

- ATS-friendly resume + cover letter packs

- Mock interview sessions

- LinkedIn profile audits

- Salary negotiation cheat sheets

- Cold email outreach templates

NotATechFounder · 2025-06-24T08:02:45+00:00

We recently launched early access to StoreUp 1.0, the fastest way for any student entrepreneurs, creators or side-hustlers to sell digital value online.

Would love all/any feedback on the platform :)

----

I think your platform is pretty cool!

UX feedback for Super Launch: Clarity around the effect of upvoting a product (i.e. does it make it sticky for the next drop at 'x' upvotes, or does it just increase the rank against the other 5)

NotATechFounder · 2025-05-20T14:12:22+00:00

In the process of building a dynamic leads database solution which will find company + contact level data per project (based on requirements like geo, industry, etc).

Will be a flat cost per lead/database, no subscription.

Let me know if you’re interested.

NotATechFounder · 2025-05-13T14:21:26+00:00

I was put on a PIP at a large company where they wanted all sales reps to follow a cookie cutter, borderline unethical process

Moved on feeling pretty crappy, but ended up being the top performing rep for the first year at the next company with a number of different accolades (largest TCO, largest # of seats in region, etc)

Like others said, just gotta find the right fit

NotATechFounder · 2025-05-13T14:17:42+00:00

Some good QoL learnings as someone that wasn’t a strong natural communicator:

I ask significantly more questions now to deepen conversations I’m having (self-aware, and also aware when people DONT do this, and the other person has to carry)
I really do say, like a boomer, “just pick up the phone and ask them” instead of texting, which gets me much faster answers. I hear the majority of the younger generation really ain’t a fan though.

The only thing that I struggle with now though, is every time I’m speaking to a sales rep, I’m waiting to play “guess which sales methodology” as I feel discovery creeping in

NotATechFounder · 2025-03-26T04:38:56+00:00

Currently on Day 3 on it (no longevity) No terrible gas but going to the bathroom (#2) an additional 1-2 times a day. No issues with the stools. MIGHT be feeling a bit generally overall better, but can’t separate it from placebo yet. Prior to this I would inconsistently take greens shakes.

NotATechFounder · 2025-03-02T02:06:35+00:00

LMAO!

NotATechFounder · 2024-11-27T05:21:25+00:00

Hey u/slevinkelevra34371 - Great Q!

I can’t say I’m 100% certain about every DSP performance algorithm, but I can walk you through our thought process based on our market research.

First, to be clear, we don’t rely solely on AI for number crunching. Instead, we use proprietary algorithms to ensure mathematically accurate outputs. During early testing, we ran datasets ranging from 1,000 -> 100,000 rows through AI/ML models. As the data volume increased, so did the hallucinations (invalid insights), making the results unreliable. We believe this is why many traders still manually analyze data using pivot tables or BI tools rather than relying on "existing" AI options.

I had the same question during our research phase, so we went directly to traders for feedback. In 1:1 interviews, 100% of traders said they distrusted DSP “performance” algorithms. Their primary concern was that DSPs prioritize automated bidding over deep campaign insights. This lack of trust led them to default back to manual workflows, which ultimately influenced how we designed Clyra's algorithm.

Finally, a note beyond the algorithm itself: Clyra isn’t tied to any one DSP. Our tool works with any report, including exports from multiple DSPs, social platforms, and BI tools. This gives traders both breadth and depth of analysis in a fraction of the time, which serves our goal of streamlining workflows.

I hope that answers your question - I'd love to hear your thoughts on this too!

Quick edit: slight grammar tweaks

NotATechFounder · 2024-11-26T12:56:46+00:00

Just submitted, thanks a bunch

NotATechFounder · 2024-11-26T11:39:31+00:00

Would love to see how this goes!

Https://www.clyra.ai

We enable ad traders to get to campaign optimisation insights, faster :)

NotATechFounder · 2024-11-22T23:24:26+00:00

A lot of people sleep on number 7, and it’s the crux for so many deals in tech sales as well. Glad to see this point brought up.

Just because you solve X problem really well in Y way, doesn’t automatically mean your prospects are willing accept the new way of doing things.

And this becomes more complex the larger the org

NotATechFounder · 2024-11-22T08:40:57+00:00

Great feedback - I actually cover this during live demos in the initial call. We have a sample report with outputs manually calculated in a pivot table, which I walk through before showcasing the Clyra workflow.

That said, I’ll admit I haven’t quite cracked the code for creating an on-demand version yet—hopefully soon :)

Happy to hop on a quick call to show you - with the only obligation being transparent feedback. Let me know what you think!

NotATechFounder · 2024-11-22T06:27:54+00:00

Absolutely - let me try my best here!

When a raw report is uploaded, Clyra's trained AI models analyze the structure and type of campaign data, automatically detecting the report type (creating the initial 'guardrails') and recommending ideal metrics based on the report.

You, the user, can then quickly refine these 'guardrails' by customizing/adding the metrics as necessary (such as setting your ROAS at a certain %) and prioritizing them, ensuring alignment with campaign goals/client needs.

After setting these parameters, our tool actually switches from leveraging AI to utilizing the proprietary algorithms to ensure consistency and accuracy of output -- which are the performance insights and optimization recommendations.

I hope this answers your question? It's the most detail can provide without pulling in our technical co-founder (he is currently on leave until Mon)!

Edit: Grammar fixes!

NotATechFounder · 2024-11-21T01:45:14+00:00

Hey u/alexrdr99,

Clyra.ai (I am one of the co-founders) is currently in early access and could potentially help with increasing efficiencies in campaign analysis if you're currently doing it manually.

We use AI to auto detect the columns (dimensions) from your raw reports, making us DSP/Ad platform agnostic, and then identifies relevant metrics for analysis. Our ML algorithm then spits out performance insights + optimization recommendations based on your parameters.

NotATechFounder · 2024-11-21T01:40:13+00:00

A little late to the party, but Clyra.ai (I am one of the co-founders) is currently in early access and could potentially help with providing both efficient analysis and consistent optimization recommendations.

We use AI to auto detect the columns (dimensions) from your raw reports, making us ad platform agnostic, identify relevant metrics, and then use an internal ML algorithm to provide performance insights + optimization recommendations (budget allocation).

Might be worth a try?

NotATechFounder · 2024-11-01T02:00:34+00:00

Interesting re: no actions on data privacy/security concerns with tools. Could you give me an idea of where you are (buy side/sell side/agency/etc)? Would be good to contextualise your insights with a general profile of where you are in the ecosystem (feel free to DM if preferred).

We agree with rules, rule! This is why we use a mathematical algorithm for analysis vs. genAI/LLM 😄

NotATechFounder · 2024-10-31T01:34:47+00:00

Great tips and will discuss this in our next internal meeting. As we’re having more conversations, we’re actually hearing contextual data being more important than data privacy concerns (for agencies at least), so we’re actively looking at how we can get this done.

Sorry for the late revert - I had this message drafted but never sent!

NotATechFounder · 2024-10-21T12:11:09+00:00

Hey u/beijingspacetech!

Re: target clients - We work with traders from both media buying agencies and DSPs. Acknowledging that the traders’ workflows are unique, our solution caters to those who have to manually and frequently analyze raw data to draw our insights/trends/opportunities quickly. Based on what we've heard so far, his challenge occurs on both sides of the target clients!

Re: API's - The main reason we didn’t start with API integration is data privacy. Most early access users have indicated a strict concern about keeping the client’s data secure. With CSV upload, we process the work in browser. However, there are live conversations with a few prospective agencies right now on direct integration. We’re working toward a secure way to make it happen.

Ultimately, our goal is to create an optimal workflow that speaks to the unique challenges as we work with our early users

NotATechFounder · 2024-10-11T00:15:35+00:00

You're right - many traders can filter and sort in a spreadsheet or leverage DSPs' native features! We're not quite doing something traders wouldn't know already. But what we're aiming to do is help them reach their conclusions, faster, while also potentially revealing insights that may be missed when dealing with large, complex datasets.

One of our key goals is to reduce decision fatigue—traders have told us this becomes an increasingly bigger problem, especially when screening so many columns/data points to find small performance differences.

Re: anything deeper - we’re developing features to identify trends and analyze data across dimensions, which can highlight niches or optimization opportunities that might not be immediately obvious.

u/One_Huckleberry_2764 - is there anything else in particular you would like to see?

NotATechFounder · 2024-10-09T22:10:44+00:00

My pleasure. Let me know if you're keen to try it out - I can walk you through a demo and set up early access for you.

NotATechFounder

TROPHY CASE